This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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Key Responsibilities:

• Serve as a technical lead on 8-10 multiple strategic opportunities, directly influencing the deal cycles and accelerating revenue growth.
• Become the definitive subject matter expert on Komodo's comprehensive suite of healthcare data assets and platform capabilities.
• Garner subject matter expertise and ownership of a segment within the Partnerships / Channel Partnerships organization.
• Develop scalable technical frameworks, demo environments, and reusable assets that have set new organizational standards with a heavy emphasis on agentic AI workflows.
• Drive cross-functional initiatives by partnering with Product, Data Science, and Engineering to deliver customized, innovative solutions.

Requirements:

• 7+ years of experience in Sales Engineering or Solutions Engineering with a focus on healthcare data and healthcare technology.
• Proven track record of understanding and leveraging AI tools to enhance SaaS products or improve operational workflows.
• Expertise in healthcare data (e.g., 837/835 transactions, NDC codes) and its practical applications in analytics, reporting, and decision-making.
• Strong technical skills, including experience with APIs, data integration, cloud-based architectures (e.g., AWS, Azure), and analyzing large datasets.
• An understanding and proficiency of data science techniques, specifically SQL, Python, and/or R.
• Excellent communication and presentation skills, with the ability to train partners and translate complex technical concepts for diverse stakeholders.

Preferred Skills:

• Experience working within the provider, payer, or financial service segments.
• Technical certifications in AWS, Azure, or data platforms.
• Experience with CRM platforms like Salesforce for managing partner and client interactions.
• Familiarity with data visualization tools (e.g., Tableau, Looker) to create impactful partner training materials.
• Knowledge of identity resolution and privacy-preserving linking technologies.
• Prior experience developing joint business plans and co-sell strategies with channel partners.

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Key Responsibilities:

• Team Leadership & Mentorship: Hire, lead, coach, and develop a high-performing team of product and marketing analysts.
• Analytics Strategy & Execution: Own the company's marketing measurement, experimentation, and insight generation for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV.
• Hands-On Analysis: Perform deep-dive analyses to uncover insights that inform product and business decisions.
• Cross-Functional Collaboration: Act as a strategic thought partner to identify opportunities, measure success, and optimize Marketing and product performance.

Requirements:

• 10+ years of experience in analytics, with at least 2 years in a people management role.
• Strong technical skills in SQL, Python, data visualization tools (Amplitude, Tableau) and experimentation.
• Has direct experience in marketing analytics using Media Mix Models (MMM), difference-in-differences and other causal inference techniques.
• Proven track record of leading high-performing marketing or product analytics teams.
• Excellent communication and storytelling skills.
• Ability to balance strategic thinking with hands-on execution.

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As a GTM Systems Engineer, you'll work on building the systems that turn API calls into revenue, transform messy multi-jurisdictional data into clarity, and automate what currently requires 10 people to do manually. You'll architect integrations between CRM, billing, contracts, and finance, building the workflows that turn enterprise sales from a manual slog into something elegant.

You'll be responsible for building the data pipelines and dashboards that show us what's actually happening: consumption patterns, churn signals, expansion opportunities. Not vanity metrics,the kind of real-time visibility that changes how we make decisions.

We're looking for someone with 3-5+ years of experience as a Software Engineer, Systems Engineer, or RevOps Engineer at a B2B AI or SaaS company. You should have programming proficiency in Python, JavaScript/TypeScript, and SQL, as well as CRM expertise and experience building with integration platforms such as Workato, Zapier, or Tray.io.

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Brex is a finance platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you'll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex.

You'll go beyond building dashboards,you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership.

You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.

This role sits at the intersection of analytics, analytics engineering, and business strategy.

You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you'll work

This role will be based in our San Francisco 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.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards,you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

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. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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In this role, you will play a key part in evaluating and strengthening ZoomInfo's IT control environment, with a primary focus on executing SOX compliance testing across IT general controls, automated controls, and system integrations.

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.

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.

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.

Key Responsibilities:

• Execute IT audit plans including evaluation of IT general controls (ITGCs), automated controls, application controls, and system integrations in support of ZoomInfo's SOX compliance program

• Conduct risk and control assessments across IT environments, identifying control gaps and providing practical recommendations for improvement and remediation

• Perform SOX compliance testing for IT general controls across key domains including access management, change management, computer operations, and system development

• Document audit workpapers clearly and thoroughly, ensuring documentation meets professional standards and supports audit conclusions

• Communicate audit findings effectively, including control deficiencies, root cause analysis, and recommended remediation steps, to both technical and non-technical stakeholders

• Partner with IT and business unit stakeholders to build collaborative relationships and ensure effective audit outcomes

• Support the monitoring of management action plans and remediation efforts related to identified control deficiencies

• Leverage audit management technology (AuditBoard) and data analytics tools to enhance audit efficiency and quality

• Contribute to the continuous improvement of audit methodologies, tools, and best practices, including the adoption of AI and automation capabilities

• Stay current on changes in the IT landscape, regulatory environment, and industry trends to assess impacts on ZoomInfo's IT risk and control profile

Required Qualifications:

• Bachelor's degree in Accounting, Finance, Management Information Systems, Business Administration, or a related field

• CISA, CA or equivalent certification in good standing

• 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

• 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

• Strong knowledge of IT general controls (ITGCs), automated controls, and IT risk assessment practices

• Solid understanding of SOX requirements, COSO framework, and COBIT standards as they relate to IT audit

• Familiarity with cloud-based platforms, SaaS applications, databases, and middleware solutions in the context of IT audit and SOX compliance

• Experience working with audit management technology; AuditBoard experience preferred

• Strong experience with data analytics and automation tools as applied to internal audit

• Excellent written and verbal communication skills in English, with the ability to present findings clearly to both technical and non-technical stakeholders

• Strong analytical, critical thinking, and problem-solving skills with the ability to manage multiple priorities and meet deadlines

• Ability to work independently and collaboratively in a fast-paced, global environment

Preferred Qualifications:

• Experience with enterprise SaaS applications such as Salesforce, Workday, or Okta in an audit or controls context

• Hands-on experience with data visualization tools and advanced analytics techniques

• Familiarity with scripting or programming concepts such as Python as applied to audit automation and data analysis

• Familiarity with artificial intelligence and prompt engineering as applied to audit and risk management workflows

• Experience with agile audit methodologies or continuous auditing frameworks

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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).

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.

This role provides hands-on ownership of improvement projects that elevate factory performance at scale.

Do you have the analytical rigor and operational mindset to strengthen excellence in autonomous defence manufacturing?

Responsibilities:

• Support the deployment, sustainment, and continuous improvement of operational standards across manufacturing (5S, visual management, root cause analysis, and more).

• Facilitate structured problem-solving initiatives using methodologies such as A3, 5 Whys, Fishbone analysis, and corrective action implementation.

• 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.

• Maintain and enhance KPI dashboards and visual management systems to increase transparency, performance accountability, and daily management effectiveness.

• Analyze operational and performance data to identify trends, performance gaps, and areas of opportunity that inform improvement priorities.

• Support and help facilitate Kaizen events and focused improvement workshops to accelerate targeted performance gains.

• Develop, refine, and document standard work to improve process consistency, efficiency, and operational discipline.

• Track action plans and ensure follow-through on corrective actions and improvement initiatives to drive sustained results.

• Reinforce a culture of accountability and execution excellence by promoting disciplined adherence to operational standards.

• Support manufacturing training efforts by reinforcing Lean principles and partnering cross-functionally to improve the structure, consistency, and effectiveness of training programs.

Requirements:

• 5+ years of experience in a production/manufacturing environment.

• Strong analytical and structured problem-solving skills.

• Demonstrated interest in manufacturing operations, Lean principles, or continuous improvement methodologies.

• Ability to interpret operational performance data and translate insights into actionable recommendations.

• Strong communication skills and ability to collaborate effectively across cross-functional teams.

• Proficiency in Microsoft Excel and familiarity with data visualization tools.

Preferences:

• Experience supporting Lean or continuous improvement initiatives within an aerospace or regulated manufacturing environment.

• Working knowledge of Lean tools such as 5S, A3 problem-solving, Value Stream Mapping, root cause analysis, or Kaizen facilitation.

• Experience maintaining KPI dashboards, visual management systems, or performance tracking tools.

• Familiarity with ERP/MES systems and production reporting platforms.

• Ability to operate effectively in a fast-paced, evolving manufacturing environment with shifting priorities.

• Six Sigma certification.

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Strategic Leadership: You will be well-versed in every part of store operations and can seamlessly jump into specific areas as needed. You'll challenge the team to seek insights from others to optimize operational impact. You maximize profitability by implementing local marketing strategies and increasing store-controllable profit (SCP).

Deliver an Incredible Guest Experience: You're driven by a passion for customer service and you'll build and maintain a guest-centric culture, leading by example at all times. In addition, you will also support guest de-escalation, stepping in to support store staff when needed.

Operational & Financial Management: You will keep up to date with all recurring reports, surveys, audits, and checklists. Ensure we keep our facility in top shape for the guests by maintaining cleanliness of our common areas, experience rooms, and all inventoried equipment.

Technical Support and Troubleshooting: You will ensure store schematics are meticulously set to meet company standards, ensuring a premium environment for all guests. You conduct thorough hardware/software checks throughout the week, immediately communicating any issues to store staff and Tier 1 Helpdesk respectively.

Store Leadership: You will lead the interview, hiring, and onboarding process for all store staff. You are also proactively identifying coaching opportunities in our Guest Experience Guides and Leads, and will partner with your ASM to deliver coaching and developmental goals.

We're looking for a leader who has a minimum of three years of experience in a retail operations management or hospitality industry. You should be able to work well under pressure, be physically fit, and have good communication skills.

Benefits include a robust store performance commission program, paid time off, sick time, 401(k) + match, medical, dental, vision, life, and disability insurance, health and wellness resources and discounts for all those who qualify, commuter benefits, exclusive savings on entertainment, shopping, hotels, and more, promotion potential, and a referral bonus program.

Note: Evening and weekend availability may be required depending on the business' needs.

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As part of the Decision Science team, this role is central to connecting marketing performance with business outcomes. You'll transform data into actionable insights that guide strategic decisions across online and call center channels.

What You'll Do

• Analyze marketing performance across channels and connect spend to customer value.
• Build and maintain dashboards and data models that accurately reflect marketing KPIs.
• Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.
• Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.
• Support broader Decision Science initiatives with analytical expertise.
• Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.
• Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.

Requirements

• Strong analytical mindset with demonstrated problem-solving skills.
• Excellent verbal communication and listening skills; basic storytelling ability.
• Experience in marketing analysis and campaign performance evaluation.
• Familiarity with marketing KPIs and conversion funnel optimization.
• Proficient in SQL and data wrangling techniques.
• Conceptual understanding of statistical and machine learning methods.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Technical aptitude with tools such as Python, R, Snowflake.
• Comfortable working in fast-paced environments and adapting to new technologies.

Benefits

This position comes with a competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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Our client is a leading insurer with a wide range of products and services. As part of the Decision Science team, this role is central to connecting marketing performance with business outcomes.

About the role

As an Associate Decision Scientist, you'll transform data into actionable insights that guide strategic decisions across online and call center channels. You'll combine analytical rigor with storytelling to help stakeholders understand what's driving performance and how to optimize future campaigns.

What You'll Do

• Analyze marketing performance across channels and connect spend to customer value.
• Build and maintain dashboards and data models that accurately reflect marketing KPIs.
• Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.
• Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.
• Support broader Decision Science initiatives with analytical expertise.
• Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.
• Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.

Requirements

• Strong analytical mindset with demonstrated problem-solving skills.
• Excellent verbal communication and listening skills; basic storytelling ability.
• Experience in marketing analysis and campaign performance evaluation.
• Familiarity with marketing KPIs and conversion funnel optimization.
• Proficient in SQL and data wrangling techniques.
• Conceptual understanding of statistical and machine learning methods.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Technical aptitude with tools such as Python, R, Snowflake.
• Comfortable working in fast-paced environments and adapting to new technologies.

Benefits

This position comes with a competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Consultant/Senior Consultant in the Data Engineering & 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.

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.

Your Tasks

• Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Set up data pipelines for analytical workloads
• Support the productive implementation of data and ML solutions, including monitoring and optimisation

What You Bring - Required

• At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics
• Hands-on experience in implementing data and analytics solutions in (customer) projects
• Strong problem-solving skills and a pragmatic, implementation-oriented way of working

Data Engineering Fundamentals

• Experience in setting up data pipelines (ingestion, transformation, storage)
• Solid understanding of data modeling, data transformations, and feature engineering
• Experience with cloud-based data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric

• Knowledge of CI/CD concepts and production-ready deployments

Applied Data Science & Analytics

• Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses
• Very good programming skills in Python
• Very good SQL skills and experience with relational databases
• Experience in deploying and productively using ML models
• Ability to translate analytical results into business-relevant insights
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with:

1. Streaming technologies (e.g. Kafka, Azure Event Hubs)
2. Time series analysis, NLP applications, or system modeling
3. NoSQL databases (e.g. MongoDB, Cosmos DB)
4. Docker and Kubernetes
5. Data visualization tools like Power BI, Tableau
6. Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

Your Team

You will become part of our growing Data & 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 & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, and Analytics & Data Science.

About Infosys Consulting

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.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

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.

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!

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XML job scraping automation by YubHub

As an Integration Engineer on the Customer Data Integrations team, you will improve the ecommerce experience for millions of shoppers by building monitoring tools that ensure reliable, high-quality integrations with Constructor's platform. You'll also support successful customer launches through hands-on technical guidance and collaboration.

Responsibilities

• Act as a technical partner to customers during onboarding and integration, providing guidance through calls and hands-on collaboration
• Build and maintain internal tools that improve visibility into customer integrations, including dashboards and systems that surface data quality and integration health
• Evolve our event tracking to ensure the reliable and scalable data collection that powers our AI algorithms
• Improve documentation, training materials, and developer resources for both customers and internal teams
• Support customers asynchronously by troubleshooting issues, reviewing implementations, and validating data quality while proactively monitoring integration health
• Collaborate with integration-focused teams to identify recurring integration challenges and develop scalable solutions
• Partner with Product, Customer Success, and other engineering teams to shape the future of customer integrations

How We Work

• Remote-first - work from anywhere
• Bi-weekly sprints/retros and daily stand-ups - Lightweight processes that favor rapid continuous development
• High trust, low ego culture focused on outcomes over hours
• Continuous learning encouraged through an annual learning stipend and peer mentorship

Requirements

• Minimum two years of professional and/or academic experience in software engineering
• Proficiency in building applications using React and Node based technologies (TypeScript experience is a plus!)
• Solid understanding of front-end fundamentals such as DOM parsing/manipulation and browser debugging
• Familiarity with building either dashboards, monitoring systems, data visualization tools, or event instrumentation
• Bonus points for experience with tools for querying, managing, or analyzing data (e.g., OpenSearch, ClickHouse, SQL)
• Strong communication and interpersonal skills, with enthusiasm for working directly with customers and collaborating across teams
• Comfortable troubleshooting complex issues, validating data quality, and translating customer feedback into scalable solutions
• Motivated by continuous learning and enjoys solving novel technical problems in dynamic environments
• Ability to support customers and team members between PST and GMT+1 time zones

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• Regular team offsites to connect and collaborate

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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.

Microsoft'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.

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.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor'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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master'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'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.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• 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).

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Responsibilities

Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.

Develop and optimize data models to support data analytics.

Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.

Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.

Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.

Work with a security-first mindset, focusing on system scalability and maintainability.

Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications

Required Qualifications:

• Bachelor'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.

Preferred Qualifications:

• Master'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'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.

6+ years of experience in software engineering, with a focus on data engineering and data analytics.

Solid experience with data processing frameworks such as Apache Spark, Hadoop.

Expertise in SQL and experience with RDBMS, Key Value stores.

Familiarity with cloud platforms and data services.

Excellent problem-solving skills and the ability to work independently and as part of a team.

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).

#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: https://careers.microsoft.com/us/en/us-corporate-pay

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Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Develop and optimize data models to support data analytics.
• Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.
• Work with a security-first mindset, focusing on system scalability and maintainability.
• Coach and mentor peers and emerging team members while advocating for best practices.

Qualifications:

• Bachelor'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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• 6+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• 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).

Preferred Qualifications:

• Master'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'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.
• 8+ years of experience in software engineering, with a focus on data engineering and data analytics.
• Solid experience with data processing frameworks such as Apache Spark, Hadoop.
• Expertise in SQL and experience with RDBMS, Key Value stores.
• Familiarity with cloud platforms and data services.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• 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).

Salary Range:

• 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.

Benefits:

• Microsoft is an equal opportunity employer.
• 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.
• 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.

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What you'll do

• Define and maintain product KPIs for subscription and platform performance.
• Build dashboards and reporting to monitor acquisition, engagement, and retention.

What you need

• Bachelor’s degree in analytics, economics, statistics, or related field.

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What you'll do

• Evaluate existing partnerships and opportunities, special offers, and member benefits related to the subscription service
• Collaborate with marketing, commercial, and game teams to deliver insights into user behaviour and to guide product and marketing decisions

What you need

• 4+ years of experience providing insights from data to guide optimization in E-commerce, product development, and/or loyalty marketing
• University Degree in Statistics, Marketing, Business, E-commerce or related field of study

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