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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_98161ddd-28c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8463699002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$114,192 - $142,740","x-skills-required":["Advanced SQL","Python","Cloud data warehouses","BI and data visualization tools","Stakeholder management","Generative AI and LLM-based tools"],"x-skills-preferred":["Statistical methods","dbt for data modeling and transformation","Orchestration tools","APIs for data ingestion and integration","Version control systems","Fintech, financial services, or payments"],"datePosted":"2026-04-18T15:51:38.936Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California, United 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You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. 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security/software engineers to identify risks, think strategically, and translate high-level requirements into tactical plans.</li>\n</ul>\n<p>Preferred qualifications include experience with data analytics and visualization tools, background in Security organizations, and familiarity with AI-enabled workflows.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_005cd4ae-330","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7744089","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$129,000-$152,000 USD","x-skills-required":["strategy","operations","program management","data analysis","project management","communication","budget 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Simulation","description":"<p>As an Industrial Engineer on the Production Control team, you will develop and maintain discrete event simulation models and critical chain schedules that drive production planning for Anduril&#39;s advanced AI factory.</p>\n<p>You will use simulation and modeling tools to visualize production systems, identify bottlenecks, and optimize resource allocation,translating analytical insights into actionable production control decisions.</p>\n<p>This is a hands-on role for someone with strong Operations Research fundamentals who is eager to apply simulation, optimization, and scripting to real manufacturing problems at scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and maintain discrete event simulation (DES) models of maritime manufacturing processes to support production planning and facility layout decisions</li>\n<li>Build and operate critical chain project management models to drive production scheduling and resource leveling</li>\n<li>Write scripts and build technology-driven workflows to automate production control tasks and streamline planning processes</li>\n<li>Collaborate with manufacturing technology teams to validate simulation assumptions against physical reality and implement process improvements</li>\n<li>Provide data-driven analysis to support capital equipment investments, make-vs-buy decisions, and capacity planning</li>\n<li>Create visualizations and reports that enable cross-functional teams (design, ops, finance, leadership) to understand factory behavior and make informed decisions</li>\n<li>Identify production bottlenecks, resource conflicts, and capacity constraints before they become expensive problems</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related technical field</li>\n<li>2+ years of experience in simulation modeling, production planning, or industrial engineering</li>\n<li>Foundational knowledge of discrete event simulation concepts and at least one DES platform (FlexSim, Simio, AnyLogic, Arena, or equivalent)</li>\n<li>Strong analytical skills with the ability to translate complex data into actionable insights</li>\n<li>Willingness to integrate new technology into workflows , writing scripts, automating processes, and adopting tools that accelerate the team</li>\n<li>Proficiency in data analysis and visualization tools (Python, Excel, or similar)</li>\n<li>Ability to work directly with manufacturing teams to implement process improvements based on simulation and analytical results</li>\n<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s degree or coursework emphasis in Operations Research, simulation, or optimization</li>\n<li>Experience with critical chain project management concepts or tools (Aurora from Stottler Henke, ProChain, or similar)</li>\n<li>Experience scripting or building automated workflows to support production planning or engineering processes</li>\n<li>Familiarity with manufacturing environments,shipyard, aerospace, defense, or advanced manufacturing</li>\n<li>Programming skills in Python for custom analysis, automation, and integration</li>\n<li>Knowledge of Lean manufacturing, Theory of Constraints, or Six Sigma methodologies</li>\n<li>Experience with digital twin concepts or integration of simulation with production systems (MES/ERP)</li>\n<li>Internship or project experience in factory layout, capacity planning, or production scheduling</li>\n</ul>\n<p>US Salary Range $86,000-$114,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c21d4102-160","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril 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States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"discrete event simulation, operations research, simulation modeling, production planning, industrial engineering, data analysis, visualization tools, Python, Excel, critical chain project management, scripting, automated workflows, Lean manufacturing, Theory of Constraints, Six Sigma methodologies, digital twin concepts, integration of simulation with production systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":86000,"maxValue":114000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0bf3955d-b31"},"title":"IT Audit Analyst","description":"<p>We are looking for a dynamic and detail-oriented IT Audit Analyst or Senior IT Audit Analyst to join our growing Internal Audit team.</p>\n<p>In this role, you will play a key part in evaluating and strengthening ZoomInfo&#39;s IT control environment, with a primary focus on executing SOX compliance testing across IT general controls, automated controls, and system integrations.</p>\n<p>This position offers meaningful exposure to US GAAP, SOX compliance, and complex IT control environments, as well as the opportunity to work with automation and AI-driven tools.</p>\n<p>You will work closely with US-based teams and stakeholders across IT and business functions, requiring a shifted schedule with availability until 12:00 PM PST to enable effective collaboration.</p>\n<p>The ideal candidate brings strong analytical and communication skills, a proactive approach to problem solving, and a desire to grow in a fast-paced, high-growth SaaS environment.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Execute IT audit plans including evaluation of IT general controls (ITGCs), automated controls, application controls, and system integrations in support of ZoomInfo&#39;s SOX compliance program</li>\n</ul>\n<ul>\n<li>Conduct risk and control assessments across IT environments, identifying control gaps and providing practical recommendations for improvement and remediation</li>\n</ul>\n<ul>\n<li>Perform SOX compliance testing for IT general controls across key domains including access management, change management, computer operations, and system development</li>\n</ul>\n<ul>\n<li>Document audit workpapers clearly and thoroughly, ensuring documentation meets professional standards and supports audit conclusions</li>\n</ul>\n<ul>\n<li>Communicate audit findings effectively, including control deficiencies, root cause analysis, and recommended remediation steps, to both technical and non-technical stakeholders</li>\n</ul>\n<ul>\n<li>Partner with IT and business unit stakeholders to build collaborative relationships and ensure effective audit outcomes</li>\n</ul>\n<ul>\n<li>Support the monitoring of management action plans and remediation efforts related to identified control deficiencies</li>\n</ul>\n<ul>\n<li>Leverage audit management technology (AuditBoard) and data analytics tools to enhance audit efficiency and quality</li>\n</ul>\n<ul>\n<li>Contribute to the continuous improvement of audit methodologies, tools, and best practices, including the adoption of AI and automation capabilities</li>\n</ul>\n<ul>\n<li>Stay current on changes in the IT landscape, regulatory environment, and industry trends to assess impacts on ZoomInfo&#39;s IT risk and control profile</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Accounting, Finance, Management Information Systems, Business Administration, or a related field</li>\n</ul>\n<ul>\n<li>CISA, CA or equivalent certification in good standing</li>\n</ul>\n<ul>\n<li>IT Audit Analyst: 3+ years of experience in IT audit, IT risk, or SOX compliance within a public company, Big 4 accounting firm, or equivalent corporate setting</li>\n</ul>\n<ul>\n<li>Senior IT Audit Analyst: 5+ years of experience in IT audit, IT risk, or SOX compliance within a public company, Big 4 accounting firm, or equivalent corporate setting</li>\n</ul>\n<ul>\n<li>Strong knowledge of IT general controls (ITGCs), automated controls, and IT risk assessment practices</li>\n</ul>\n<ul>\n<li>Solid understanding of SOX requirements, COSO framework, and COBIT standards as they relate to IT audit</li>\n</ul>\n<ul>\n<li>Familiarity with cloud-based platforms, SaaS applications, databases, and middleware solutions in the context of IT audit and SOX compliance</li>\n</ul>\n<ul>\n<li>Experience working with audit management technology; AuditBoard experience preferred</li>\n</ul>\n<ul>\n<li>Strong experience with data analytics and automation tools as applied to internal audit</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills in English, with the ability to present findings clearly to both technical and non-technical stakeholders</li>\n</ul>\n<ul>\n<li>Strong analytical, critical thinking, and problem-solving skills with the ability to manage multiple priorities and meet deadlines</li>\n</ul>\n<ul>\n<li>Ability to work independently and collaboratively in a fast-paced, global environment</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with enterprise SaaS applications such as Salesforce, Workday, or Okta in an audit or controls context</li>\n</ul>\n<ul>\n<li>Hands-on experience with data visualization tools and advanced analytics techniques</li>\n</ul>\n<ul>\n<li>Familiarity with scripting or programming concepts such as Python as applied to audit automation and data analysis</li>\n</ul>\n<ul>\n<li>Familiarity with artificial intelligence and prompt engineering as applied to audit and risk management workflows</li>\n</ul>\n<ul>\n<li>Experience with agile audit methodologies or continuous auditing frameworks</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0bf3955d-b31","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ZoomInfo","sameAs":"https://www.zoominfo.com/","logo":"https://logos.yubhub.co/zoominfo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/zoominfo/jobs/8441742002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SOX compliance","IT general controls","automated controls","application controls","system integrations","audit management technology","data analytics tools","AI-driven tools","cloud-based platforms","SaaS applications","databases","middleware solutions","CISA","CA","SOX requirements","COSO framework","COBIT standards"],"x-skills-preferred":["enterprise SaaS applications","data visualization tools","advanced analytics techniques","scripting or programming concepts","Python","artificial intelligence","prompt engineering","agile 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Enablement Scaled Programs Lead","description":"<p>As the Scaled Partner Enablement Lead, you will be part of a visionary team that is architecting our partner enablement strategy. You will design, build, and execute high-impact learning programs spanning technical certifications, sales readiness, specialization, and onboarding programs to ensure our partners sell and deliver Databricks solutions with total confidence.\\n\\nThis role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You’re joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.\\n\\n### Key Responsibilities\\n\\n<em>   Strategic Alignment: Partner with the leadership, partner-facing teams, and partners themselves to identify critical needs and translate business requirements into high-impact enablement programs.\\n</em>   Performance Accountability: Drive and own the results for your partner portfolio, maintaining full accountability for key metrics, including training completion and certification targets.\\n<em>   Build Learning Programs: Collaborate with internal Subject Matter Experts (SMEs) to define best-in-class enablement programs and establish rigorous success measures.\\n</em>   Roadmap Management: Lead the roadmap for training initiatives, including large-scale learning events, global workshop schedules, and the Go-to-Market strategy for partner enablement programs.\\n<em>   Operational Excellence: Oversee the end-to-end program lifecycle from initial intake and resourcing to scheduling, logistics, and task management, ensuring seamless execution.\\n</em>   Data-Driven Insights: Monitor and analyze KPIs such as Certification rates, ROI, and program impact.\\n<em>   Quality Assurance: Evaluate, audit, and coach cross-functional training resources to ensure the delivery of &quot;best-in-class&quot; learning experiences.\\n\\n### Minimum Qualifications\\n\\n</em>   Education: Bachelor’s degree in a technical discipline or equivalent practical experience.\\n<em>   Experience: 6+ years of experience developing and running large-scale training and certification programs within a global tech ecosystem.\\n</em>   Ecosystem Knowledge: Strong understanding of the System Integrator business model and how technical partners successfully go to market.\\n<em>   Technical knowledge: Deep understanding of Data AI technologies, including topics as Data Warehouse, Data Transformation, Machine Learning, and Generative AI, ideally having been certified in at least one of these technologies.\\n</em>   Program Management: Proven track record of managing technical competency models and learning journeys for geographically dispersed teams.\\n<em>   Communication: Exceptional verbal and written communication skills with the ability to influence cross-functional stakeholders.\\n\\n### Other desired Qualifications\\n\\n</em>   Experience specifically within the Data + AI or Cloud Infrastructure space.\\n<em>   Familiarity with scaling programs within the Cloud hypercallers such as Google, Microsoft, and AWS, or similar cloud partner ecosystems.\\n</em>   Proficiency in data visualization tools to report on program ROI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_be4a55b1-c38","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7839714002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["strategic planning","operational excellence","program management","data analysis","communication","technical certifications","sales readiness","specialization","onboarding programs"],"x-skills-preferred":["Data AI technologies","Data Warehouse","Data Transformation","Machine Learning","Generative AI","Cloud Infrastructure","Google","Microsoft","AWS","data visualization tools"],"datePosted":"2026-04-18T15:41:29.876Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"strategic planning, operational excellence, program management, data analysis, communication, technical certifications, sales readiness, specialization, onboarding programs, Data AI technologies, Data Warehouse, Data Transformation, Machine Learning, Generative AI, Cloud Infrastructure, Google, Microsoft, AWS, data visualization tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_25d4c4de-90c"},"title":"Senior Engineering Technician - Operational Excellence","description":"<p>The Operational Excellence Engineering Technician will support the deployment and continuous advancement of performance systems and operational standards within Shield AI&#39;s manufacturing organisation.</p>\n<p>This role will contribute to building a culture of execution excellence by facilitating structured problem-solving initiatives and supporting measurable improvements across Safety, Quality, Delivery, Cost, and People (SQDCP).</p>\n<p>You will help implement and sustain core manufacturing processes,such as visual management, 5S, standard work, root cause analysis, and KPI tracking,while partnering cross-functionally with manufacturing, production, material planning and logistics, and quality teams to execute high-priority continuous improvement initiatives.</p>\n<p>This role provides hands-on ownership of improvement projects that elevate factory performance at scale.</p>\n<p>Do you have the analytical rigor and operational mindset to strengthen excellence in autonomous defence manufacturing?</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Support the deployment, sustainment, and continuous improvement of operational standards across manufacturing (5S, visual management, root cause analysis, and more).</li>\n</ul>\n<ul>\n<li>Facilitate structured problem-solving initiatives using methodologies such as A3, 5 Whys, Fishbone analysis, and corrective action implementation.</li>\n</ul>\n<ul>\n<li>Partner with manufacturing, production, material planning and logistics, and quality teams to execute cross-functional improvement initiatives that enhance Safety, Quality, Delivery, Cost, and People performance.</li>\n</ul>\n<ul>\n<li>Maintain and enhance KPI dashboards and visual management systems to increase transparency, performance accountability, and daily management effectiveness.</li>\n</ul>\n<ul>\n<li>Analyze operational and performance data to identify trends, performance gaps, and areas of opportunity that inform improvement priorities.</li>\n</ul>\n<ul>\n<li>Support and help facilitate Kaizen events and focused improvement workshops to accelerate targeted performance gains.</li>\n</ul>\n<ul>\n<li>Develop, refine, and document standard work to improve process consistency, efficiency, and operational discipline.</li>\n</ul>\n<ul>\n<li>Track action plans and ensure follow-through on corrective actions and improvement initiatives to drive sustained results.</li>\n</ul>\n<ul>\n<li>Reinforce a culture of accountability and execution excellence by promoting disciplined adherence to operational standards.</li>\n</ul>\n<ul>\n<li>Support manufacturing training efforts by reinforcing Lean principles and partnering cross-functionally to improve the structure, consistency, and effectiveness of training programs.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5+ years of experience in a production/manufacturing environment.</li>\n</ul>\n<ul>\n<li>Strong analytical and structured problem-solving skills.</li>\n</ul>\n<ul>\n<li>Demonstrated interest in manufacturing operations, Lean principles, or continuous improvement methodologies.</li>\n</ul>\n<ul>\n<li>Ability to interpret operational performance data and translate insights into actionable recommendations.</li>\n</ul>\n<ul>\n<li>Strong communication skills and ability to collaborate effectively across cross-functional teams.</li>\n</ul>\n<ul>\n<li>Proficiency in Microsoft Excel and familiarity with data visualization tools.</li>\n</ul>\n<p><strong>Preferences:</strong></p>\n<ul>\n<li>Experience supporting Lean or continuous improvement initiatives within an aerospace or regulated manufacturing environment.</li>\n</ul>\n<ul>\n<li>Working knowledge of Lean tools such as 5S, A3 problem-solving, Value Stream Mapping, root cause analysis, or Kaizen facilitation.</li>\n</ul>\n<ul>\n<li>Experience maintaining KPI dashboards, visual management systems, or performance tracking tools.</li>\n</ul>\n<ul>\n<li>Familiarity with ERP/MES systems and production reporting platforms.</li>\n</ul>\n<ul>\n<li>Ability to operate effectively in a fast-paced, evolving manufacturing environment with shifting priorities.</li>\n</ul>\n<ul>\n<li>Six Sigma certification.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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performance</p>\n</li>\n<li><p>Assist in capacity planning, scenario analysis, and long-range production planning efforts</p>\n</li>\n<li><p>Support audits, reporting, and documentation requirements related to production and inventory management</p>\n</li>\n<li><p>Ensure compliance with company policies, safety standards, and applicable regulatory requirements</p>\n</li>\n</ul>\n<p>SKILLS &amp; QUALIFICATIONS:</p>\n<ul>\n<li>Bachelor’s degree in Supply Chain Management, Operations Management, Engineering, Business Administration, or a related field; equivalent combination of education and relevant experience will be considered</li>\n<li>Experience in production planning, scheduling, supply chain, or manufacturing operations within an industrial or manufacturing environment</li>\n<li>Demonstrated experience working with ERP/MRP systems (e.g., NetSuite, SAP, Oracle) for order management, production scheduling, and inventory control</li>\n<li>Strong analytical skills with the ability to 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Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Work is mostly performed in a normal office setting with minimal exposure to health or safety hazards, and with substantial time spent working on a computer. Requires sufficient hand, arm, and finger dexterity to operate computer keyboard and other office equipment. 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You&#39;ll combine analytical rigor with storytelling to help stakeholders understand what&#39;s driving performance and how to optimize future campaigns.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Analyze marketing performance across channels and connect spend to customer value.</li>\n<li>Build and maintain dashboards and data models that accurately reflect marketing KPIs.</li>\n<li>Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.</li>\n<li>Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.</li>\n<li>Support broader Decision Science initiatives with analytical expertise.</li>\n<li>Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.</li>\n<li>Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong analytical mindset with demonstrated problem-solving skills.</li>\n<li>Excellent verbal communication and listening skills; basic storytelling ability.</li>\n<li>Experience in marketing analysis and campaign performance evaluation.</li>\n<li>Familiarity with marketing KPIs and conversion funnel optimization.</li>\n<li>Proficient in SQL and data wrangling techniques.</li>\n<li>Conceptual understanding of statistical and machine learning methods.</li>\n<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Technical aptitude with tools such as Python, R, Snowflake.</li>\n<li>Comfortable working in fast-paced environments and adapting to new technologies.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7fc50e60-df1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/eGkj27cvQSz49b7P36NHvq/hybrid-fbs---associate-decision-scientist-in-mexico-city-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data wrangling techniques","statistical and machine learning methods","data visualization tools","Python","R","Snowflake"],"x-skills-preferred":["Tableau","Power BI"],"datePosted":"2026-03-09T16:59:31.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"SQL, data wrangling techniques, statistical and machine learning methods, data visualization tools, Python, R, Snowflake, Tableau, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aafa7b92-fa6"},"title":"Senior Consultant - Data Engineering & Data Science (m/w/d)","description":"<p>Are you looking to advance your career and work with experienced, talented colleagues to successfully solve the most important challenges of our clients? We are growing further and looking for enthusiastic individuals to strengthen our team. You will be part of a dynamic, strongly growing company with over 300,000 employees.</p>\n<p>Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?</p>\n<p>As a Consultant/Senior Consultant in the Data Engineering &amp; Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.</p>\n<p>You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.</p>\n<p><strong>Your Tasks</strong></p>\n<ul>\n<li>Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions</li>\n<li>Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses</li>\n<li>Set up data pipelines for analytical workloads</li>\n<li>Support the productive implementation of data and ML solutions, including monitoring and optimisation</li>\n</ul>\n<p><strong>What You Bring - Required</strong></p>\n<ul>\n<li>At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics</li>\n<li>Hands-on experience in implementing data and analytics solutions in (customer) projects</li>\n<li>Strong problem-solving skills and a pragmatic, implementation-oriented way of working</li>\n</ul>\n<p><strong>Data Engineering Fundamentals</strong></p>\n<ul>\n<li>Experience in setting up data pipelines (ingestion, transformation, storage)</li>\n<li>Solid understanding of data modeling, data transformations, and feature engineering</li>\n<li>Experience with cloud-based data platforms, such as:</li>\n</ul>\n<ol>\n<li>Azure, AWS, or GCP</li>\n<li>Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric</li>\n</ol>\n<ul>\n<li>Knowledge of CI/CD concepts and production-ready deployments</li>\n</ul>\n<p><strong>Applied Data Science &amp; Analytics</strong></p>\n<ul>\n<li>Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses</li>\n<li>Very good programming skills in Python</li>\n<li>Very good SQL skills and experience with relational databases</li>\n<li>Experience in deploying and productively using ML models</li>\n<li>Ability to translate analytical results into business-relevant insights</li>\n<li>Bachelor&#39;s or master&#39;s degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with:</li>\n</ul>\n<ol>\n<li>Streaming technologies (e.g. Kafka, Azure Event Hubs)</li>\n<li>Time series analysis, NLP applications, or system modeling</li>\n<li>NoSQL databases (e.g. MongoDB, Cosmos DB)</li>\n<li>Docker and Kubernetes</li>\n<li>Data visualization tools like Power BI, Tableau</li>\n<li>Cloud or architecture certifications</li>\n</ol>\n<p><strong>Language &amp; Mobility (Germany)</strong></p>\n<ul>\n<li>Fluent German skills (at least C1) for customer communication in the German-speaking market</li>\n<li>Very good English skills</li>\n<li>Project-related travel readiness</li>\n</ul>\n<p><strong>Your Team</strong></p>\n<p>You will become part of our growing Data &amp; Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data &amp; Analytics Strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, and Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.</p>\n<p>Our values IC-LIFE - Inclusion, Equity &amp; Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.</p>\n<p>In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.</p>\n<p>We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_aafa7b92-fa6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/ecAfMkjFkA97qaoimVMGNF/hybrid-(senior)-consultant---data-engineering-%26-data-science-(m%2Fw%2Fd)--deutschlandweit-in-munich-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Data Science","Machine Learning","Deep Learning","GenAI","Data Engineering","Data Warehousing","Data Lakes","Lakehouses","Data Pipelines","Cloud-based Data Platforms","Azure","AWS","GCP","Databricks","Snowflake","BigQuery","Azure Synapse","Microsoft Fabric","CI/CD","Python","SQL","Relational Databases"],"x-skills-preferred":["Streaming Technologies","Time Series Analysis","NLP Applications","System Modeling","NoSQL Databases","Docker","Kubernetes","Data Visualization Tools","Cloud Certifications","Architecture Certifications"],"datePosted":"2026-03-09T16:55:58.580Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Bavaria, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Machine Learning, Deep Learning, GenAI, Data Engineering, Data Warehousing, Data Lakes, Lakehouses, Data Pipelines, Cloud-based Data Platforms, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft Fabric, CI/CD, Python, SQL, Relational Databases, Streaming Technologies, Time Series Analysis, NLP Applications, System Modeling, NoSQL Databases, Docker, Kubernetes, Data Visualization Tools, Cloud Certifications, Architecture Certifications"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_759df900-993"},"title":"Digital Propositions Manager","description":"<p>We&#39;re looking for a commercially minded Digital Propositions Manager to sit at the heart of our Digital Customer team. You will identify, model, test, and scale Digital Propositions to generate new revenue streams.  You will be a results-driven individual who excels at bringing cross-functional groups together. You will lead &quot;Rapid Test Initiatives&quot; working with Tech, Editorial, Product, and Marketing, to launch propositions and products across our range of media brands that drive tangible business value.  Reporting to the Head of Digital Customer: Subscriptions Media, the Digital Propositions Manager, you will drive the execution and delivery of our digital subscription initiatives, with a specific focus on new launches and revenue growth. You will bridge the gap between strategy and delivery, acting as the primary force behind our &quot;Rapid Test Initiatives.&quot;  Your mission is to operate with a test-and-learn mindset, coordinating cross-functional stakeholders to ensure propositions are launched efficiently and effectively. You will move projects from inception to delivery, ensuring they perform in line with commercial targets. You are not just monitoring progress; you are driving the momentum required to turn strategic visions into live, revenue-generating products.  ### Experience that will put you ahead of the curve  - Experience in a Proposition, Product, Growth, or Project Management role within a digital environment (Publishing/Media sector desirable). - Experience overseeing a revenue or conversion KPI and ability to produce basic financial models/projections. - Evidence of &quot;rapid&quot; execution—launching products/campaigns in weeks, not months. - Proficiency in Google Workspace (GSuite); comfortable with Excel (can maintain complex spreadsheets)/Sheets (intermediate to advanced) and data visualization tools. - Lead meetings effectively, and drive cross-functional teams toward a common goal.  ### What&#39;s in it for you  The expected range for this role is £40,000 - £50,000.  This is a Hybrid role from our London Office, working three days from the office, two from home.  … Plus more great perks, which include;  - Uncapped leave, because we trust you to manage your workload and time - When we hit our targets, enjoy a share of our profits with a bonus - Refer a friend and get rewarded when they join Future - Well-being support with access to our Colleague Assistant Programmes - Opportunity to purchase shares in Future, with our Share Incentive Plan  Internal job family level P5  ### Who are we…  We&#39;re a global leader in specialist media, with over 3,000 employees working across 200+ media brands. We create trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.  ### Our Future, Our Responsibility - Inclusion and Diversity at Future  We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That&#39;s why we&#39;re building a workplace where everyone feels valued, respected, and empowered to thrive.  When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It&#39;s not just about what you bring to the table — it&#39;s about making sure the table has room for everyone.  Because a diverse team isn&#39;t just good for business. It&#39;s the Future.  Find out more about Our Future, Our Responsibility on our website.  Please let us know if you need any reasonable adjustments made so we can give you the best experience!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_759df900-993","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Future","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/673D38A0B2","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£40,000 - £50,000","x-skills-required":["Google Workspace","Excel","Sheets","data visualization tools","project management","financial modeling","rapid execution"],"x-skills-preferred":["leadership","cross-functional collaboration","communication"],"datePosted":"2026-03-09T16:20:08.141Z","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Media","skills":"Google Workspace, Excel, Sheets, data visualization tools, project management, financial modeling, rapid execution, leadership, cross-functional collaboration, communication","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":40000,"maxValue":50000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f77835b-562"},"title":"Process Engineer - Utilities & Tank Farm - Refinery Experience Only","description":"<p>Aramco is seeking a Process Engineer with extensive hands-on expertise in Utilities processes to join our Operation Engineering Solutions Department (OESD) under Global Manufacturing (GM) Excellence Organization.  Your primary responsibility is to provide in-depth process engineering and operations expertise to monitor, optimize, and drive performance improvement programs for Utilities, including both remote and on-site technical advisory support and benchmarking of utilities.  ### Key Responsibilities  <em> Conduct regular performance reviews of existing Utilities through key performance indicators (KPIs) representing optimum operability, profitability, reliability, and process safety. </em> Develop and present quarterly benchmarking reports with actionable improvement recommendations. <em> Provide hands-on support in implementing performance improvement initiatives, demonstrating measurable results in closing identified gaps from quarterly benchmarking reports. </em> Lead benchmarking and best practices exchange workshops among Global Manufacturing facilities (wholly-owned and affiliates) and facilitate knowledge sharing and continuous improvement. <em> Deliver on-demand remote and field technical advisory support, including process design, troubleshooting, start-up/shutdown activities, and capacity test runs. </em> Provide detailed service reports for each support activity, highlighting facility needs, actions taken, results, and lessons learned. <em> Collaborate with Global Manufacturing facilities engineers to identify and implement cost optimization or process improvement initiatives, focusing on &quot;low-hanging fruits&quot; that require minimal capital investment, through operational adjustment or design modification. </em> Conduct internal assessments on Utilities using Saudi Aramco engineering standard references and highlight any deviations or better standards applied by affiliates for endorsement to facility management or Saudi Aramco Central Engineering. <em> Act as the overall coordinator for cascading and driving Global Manufacturing and Corporate programs for Utilities in operating facilities, enabling their execution and effective monitoring. </em> Participate in Business Plan development, coordinate with stakeholders for capital investments on assigned Utilities and support techno-economic evaluations. <em> Evaluate and recommend new Utilities technologies, coordinate with Central Engineering to facilitate field deployment.  ### Minimum Requirements  </em> You will hold a Bachelor&#39;s degree in Chemical Engineering or related specialization. An advanced degree is preferred. <em> You will have a minimum of 15 years of total Utilities unit experience (process engineering and operations) with at least 10 years of hands-on experience in handling refinery&#39;s utilities. </em> You will have experience in water desalination and boilers for steam generation <em> You will be able to optimize various utility systems, with specific examples of performance improvements achieved. </em> You will have in-depth knowledge of major equipment suppliers and package units for Utilities. <em> You will have a proven track record of conducting technical troubleshooting, start-up, shutdown, and capacity test runs for utility systems. </em> You will have strong proficiency in data analysis and visualization tools specific to Utilities performance metrics. * You will also have strong management and coordination skills, with experience in stakeholder management.  ### Work Location and Work Schedule  Work location: Within Saudi Arabia – To be specified in Job offer  Work schedule: Full Time - To be specified in Job offer  ### Job Posting Duration  Job posting start date: 01/07/2026  Job posting end date: 12/31/2026  ### Working environment  Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.  At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.  We have a proud history of educating and training our workforce over many decades. 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You&#39;ll also support successful customer launches through hands-on technical guidance and collaboration.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Act as a technical partner to customers during onboarding and integration, providing guidance through calls and hands-on collaboration</li>\n<li>Build and maintain internal tools that improve visibility into customer integrations, including dashboards and systems that surface data quality and integration health</li>\n<li>Evolve our event tracking to ensure the reliable and scalable data collection that powers our AI algorithms</li>\n<li>Improve documentation, training materials, and developer resources for both customers and internal teams</li>\n<li>Support customers asynchronously by troubleshooting issues, reviewing implementations, and validating data quality while proactively monitoring integration health</li>\n<li>Collaborate with integration-focused teams to identify recurring integration challenges and develop scalable solutions</li>\n<li>Partner with Product, Customer Success, and other engineering teams to shape the future of customer integrations</li>\n</ul>\n<p><strong>How We Work</strong></p>\n<ul>\n<li>Remote-first - work from anywhere</li>\n<li>Bi-weekly sprints/retros and daily stand-ups - Lightweight processes that favor rapid continuous development</li>\n<li>High trust, low ego culture focused on outcomes over hours</li>\n<li>Continuous learning encouraged through an annual learning stipend and peer mentorship</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Minimum two years of professional and/or academic experience in software engineering</li>\n<li>Proficiency in building applications using React and Node based technologies (TypeScript experience is a plus!)</li>\n<li>Solid understanding of front-end fundamentals such as DOM parsing/manipulation and browser debugging</li>\n<li>Familiarity with building either dashboards, monitoring systems, data visualization tools, or event instrumentation</li>\n<li>Bonus points for experience with tools for querying, managing, or analyzing data (e.g., OpenSearch, ClickHouse, SQL)</li>\n<li>Strong communication and interpersonal skills, with enthusiasm for working directly with customers and collaborating across teams</li>\n<li>Comfortable troubleshooting complex issues, validating data quality, and translating customer feedback into scalable solutions</li>\n<li>Motivated by continuous learning and enjoys solving novel technical problems in dynamic environments</li>\n<li>Ability to support customers and team members between PST and GMT+1 time zones</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! 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The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions.</p>\n<p>As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.</p>\n<p>Microsoft&#39;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.</li>\n<li>Develop and optimize data models to support data analytics.</li>\n<li>Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.</li>\n<li>Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.</li>\n<li>Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.</li>\n<li>Work with a security-first mindset, focusing on system scalability and maintainability.</li>\n<li>Coach and mentor peers and emerging team members while advocating for best practices.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. 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The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Principal Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<p>Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.</p>\n<p>Develop and optimize data models to support data analytics.</p>\n<p>Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.</p>\n<p>Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.</p>\n<p>Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.</p>\n<p>Work with a security-first mindset, focusing on system scalability and maintainability.</p>\n<p>Coach and mentor peers and emerging team members while advocating for best practices.</p>\n<p><strong>Qualifications</strong></p>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor&#39;s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n</ul>\n<p>6+ years of experience in software engineering, with a focus on data engineering and data analytics.</p>\n<p>Solid experience with data processing frameworks such as Apache Spark, Hadoop.</p>\n<p>Expertise in SQL and experience with RDBMS, Key Value stores.</p>\n<p>Familiarity with cloud platforms and data services.</p>\n<p>Excellent problem-solving skills and the ability to work independently and as part of a team.</p>\n<p>Solid communication skills.</p>\n<p>Familiarity with Azure.</p>\n<p>Experience with machine learning and data science tools and frameworks.</p>\n<p>Knowledge of data visualization tools (e.g., Tableau, Power BI).</p>\n<p>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</p>\n<p>#MicrosoftAI Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href=\"https://careers.microsoft.com/us/en/us-corporate-pay\">https://careers.microsoft.com/us/en/us-corporate-pay</a></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6a19b1aa-62a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft Advertising","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-35/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Apache Spark","Hadoop","SQL","RDBMS","Key Value stores","Cloud platforms","Data services","Azure","Machine learning","Data science tools and frameworks","Data visualization tools","Containerization","Orchestration"],"x-skills-preferred":["Master's Degree in Computer Science or related technical field","8+ years technical engineering experience","12+ years technical engineering experience"],"datePosted":"2026-03-08T22:20:08.137Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C, C++, C#, Java, JavaScript, Python, Apache Spark, Hadoop, SQL, RDBMS, Key Value stores, Cloud platforms, Data services, Azure, Machine learning, Data science tools and frameworks, Data visualization tools, Containerization, Orchestration, Master's Degree in Computer Science or related technical field, 8+ years technical engineering experience, 12+ years technical engineering experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9afb309b-13e"},"title":"Principal Software Engineer","description":"<p>You will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. 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Additionally, you will work with a security-first mindset, focusing on system scalability and maintainability, and coach and mentor peers and emerging team members while advocating for best practices.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.</li>\n<li>Develop and optimize data models to support data analytics.</li>\n<li>Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.</li>\n<li>Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.</li>\n<li>Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.</li>\n<li>Work with a security-first mindset, focusing on system scalability and maintainability.</li>\n<li>Coach and mentor peers and emerging team members while advocating for best practices.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>\n<li>6+ years of experience in software engineering, with a focus on data engineering and data analytics.</li>\n<li>Solid experience with data processing frameworks such as Apache Spark, Hadoop.</li>\n<li>Expertise in SQL and experience with RDBMS, Key Value stores.</li>\n<li>Familiarity with cloud platforms and data services.</li>\n<li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li>\n<li>Solid communication skills.</li>\n<li>Familiarity with Azure.</li>\n<li>Experience with machine learning and data science tools and frameworks.</li>\n<li>Knowledge of data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor&#39;s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>\n<li>8+ years of experience in software engineering, with a focus on data engineering and data analytics.</li>\n<li>Solid experience with data processing frameworks such as Apache Spark, Hadoop.</li>\n<li>Expertise in SQL and experience with RDBMS, Key Value stores.</li>\n<li>Familiarity with cloud platforms and data services.</li>\n<li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li>\n<li>Solid communication skills.</li>\n<li>Familiarity with Azure.</li>\n<li>Experience with machine learning and data science tools and frameworks.</li>\n<li>Knowledge of data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li>\n</ul>\n<p>Salary Range:</p>\n<ul>\n<li>The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</li>\n<li>There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Microsoft is an equal opportunity employer.</li>\n<li>All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.</li>\n<li>If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</li>\n</ul>\n<p>Similar Jobs:</p>\n<ul>\n<li>Sr Account Executive(Advertising) Beijing, China</li>\n<li>Advertising Account Management</li>\n<li>Principal Software Engineer Bengaluru, India</li>\n<li>Software Engineering</li>\n<li>Member of Technical Staff, AI Product, Android Engineer Mountain View, US</li>\n<li>Software Engineering</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9afb309b-13e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft Advertising","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-software-engineer-37/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"USD $139,900 – $274,800 per year","x-skills-required":["C","C++","C#","Java","JavaScript","Python","Apache Spark","Hadoop","SQL","RDBMS","Key Value stores","Cloud platforms","Data services","Machine learning","Data science","Tableau","Power BI","Docker","Kubernetes"],"x-skills-preferred":["Master's Degree in Computer Science or related technical field","8+ years technical engineering experience","Expertise in SQL and experience with 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Familiarity with cloud platforms and data services, Excellent problem-solving skills, Solid communication skills, Familiarity with Azure, Experience with machine learning and data science tools and frameworks, Knowledge of data visualization tools (e.g., Tableau, Power BI), Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139900,"maxValue":274800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3daacf47-f54"},"title":"Component and Product Quality Engineer, Interconnects","description":"<p><strong>Component and Product Quality Engineer, Interconnects</strong></p>\n<p><strong>About the Team</strong></p>\n<p>OpenAI&#39;s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI&#39;s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.</p>\n<p><strong>About the Role</strong></p>\n<p>OpenAI&#39;s Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments.</p>\n<p>You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., ultra-pass / cable cassette style assemblies), patch panels &amp; optics, and backplane/cable-backplane interconnect solutions.</li>\n</ul>\n<ul>\n<li>Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures.</li>\n</ul>\n<ul>\n<li>Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production.</li>\n</ul>\n<ul>\n<li>Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria.</li>\n</ul>\n<ul>\n<li>Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases).</li>\n</ul>\n<ul>\n<li>Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness</li>\n</ul>\n<ul>\n<li>Work with suppliers to improve manufacturing throughput, stability, and yields for cable and connector assembly processes (e.g., wire prep, welding/crimping, overmolding/injection molding, plating, and assembly fixturing).</li>\n</ul>\n<ul>\n<li>Lead rapid containment and root-cause investigations for failures found during bring-up, system integration tests, reliability testing, and fleet deployments.</li>\n</ul>\n<ul>\n<li>Own the end-to-end corrective action process (8D, 5-Whys, Ishikawa, DOE as needed): define problem statements, isolate variables, validate root cause, implement fixes, and verify effectiveness.</li>\n</ul>\n<ul>\n<li>Partner with SI/PI and test teams to correlate electrical performance issues (e.g., link margin, BER, eye closure, impedance discontinuities, PAM4, TDR and VNA) with manufacturing and mechanical drivers (connector wear, plating, contamination, misalignment, cable routing, assembly variation).</li>\n</ul>\n<ul>\n<li>Support integration and deployment of OpenAI supercompute racks in lab and data center environments; identify quality risks tied to shipping, handling, installation, and service operations.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field.</li>\n</ul>\n<ul>\n<li>5+ years of experience in quality engineering, with a focus on high-speed interconnects and electro-mechanical assemblies.</li>\n</ul>\n<ul>\n<li>Strong understanding of quality principles, including Six Sigma, Lean, and Design for Manufacturability (DFM).</li>\n</ul>\n<ul>\n<li>Experience with quality management systems, such as ISO 9001, and regulatory requirements, such as IEC 62368.</li>\n</ul>\n<ul>\n<li>Strong analytical and problem-solving skills, with the ability to analyze complex data and identify root causes.</li>\n</ul>\n<ul>\n<li>Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.</li>\n</ul>\n<ul>\n<li>Experience with test and measurement equipment, such as oscilloscopes, signal generators, and network analyzers.</li>\n</ul>\n<ul>\n<li>Familiarity with simulation tools, such as ANSYS and COMSOL.</li>\n</ul>\n<ul>\n<li>Experience with data analysis and visualization tools, such as Excel, Python, and Tableau.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Master&#39;s degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field.</li>\n</ul>\n<ul>\n<li>8+ years of experience in quality engineering, with a focus on high-speed interconnects and electro-mechanical assemblies.</li>\n</ul>\n<ul>\n<li>Experience with advanced quality tools, such as Failure Mode and Effects Analysis (FMEA) and Design of Experiments (DOE).</li>\n</ul>\n<ul>\n<li>Familiarity with artificial intelligence and machine learning concepts and applications.</li>\n</ul>\n<ul>\n<li>Experience with cloud-based quality management systems, such as Salesforce and ServiceNow.</li>\n</ul>\n<p><strong>Salary and Benefits</strong></p>\n<ul>\n<li>Salary: $123K – $285K</li>\n</ul>\n<ul>\n<li>Offers Equity</li>\n</ul>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer 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