{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/lakehouses"},"x-facet":{"type":"skill","slug":"lakehouses","display":"Lakehouses","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78a9b8f2-81c"},"title":"Senior Software Engineer - Data Infrastructure","description":"<p>We believe that the way people interact with their finances will drastically improve in the next few years. We&#39;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.</p>\n<p>Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.</p>\n<p>Making data driven decisions is key to Plaid&#39;s culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid</li>\n<li>Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.</li>\n<li>Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.</li>\n<li>Debugging, troubleshooting, and reducing operational burden for our Data Platform.</li>\n<li>Growing the team via mentorship and leadership, reviewing technical documents and code changes.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>5+ years of software engineering experience</li>\n<li>Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.</li>\n<li>Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.</li>\n<li>Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.</li>\n<li>Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.</li>\n<li>Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.</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_78a9b8f2-81c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Plaid","sameAs":"https://plaid.com/","logo":"https://logos.yubhub.co/plaid.com.png"},"x-apply-url":"https://jobs.lever.co/plaid/05b0ae3f-ec60-48d6-ae27-1bd89d928c47","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,800-$286,800 per year","x-skills-required":["ML Infrastructure systems","Data Infrastructure systems","Apache Spark","Streaming Infrastructure","Workflow Orchestration","Feature Stores","Training Infrastructure","Serving Infrastructure","Model Monitoring","Data Warehouses","Data Lakehouses"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:51:58.720Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"ML Infrastructure systems, Data Infrastructure systems, Apache Spark, Streaming Infrastructure, Workflow Orchestration, Feature Stores, Training Infrastructure, Serving Infrastructure, Model Monitoring, Data Warehouses, Data Lakehouses","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190800,"maxValue":286800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2a56a653-c18"},"title":"Palantir Engineer Specialist - Sr. Consultant - Principal","description":"<p><strong>Palantir Engineer Specialist</strong></p>\n<p><strong>Sr. Consultant - Principal</strong></p>\n<p><strong>London</strong></p>\n<p>Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients&#39; most important challenges? 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In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics strategy, Data Management &amp; Governance, Data Platforms &amp; engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognised as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognised by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... 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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. 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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. 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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"}]}