Job Opportunities API

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers. With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk ; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™ , a nutrition shake to support the journey to better health. A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation. To learn more about fairlife and its complete line of products, please visit fairlife.com . job purpose :  The Sr. Data Engineer will play a key role in delivering  fairlife's  ambition of building a best-in-class Decision Intelligence (DI) ecosystem. This role designs, builds, and operates the pipelines, data models, and reusable frameworks that turn data from across our enterprise and factories into trusted, analytics-ready products in our  lakehouse . We are looking for an engineer with natural intellectual curiosity who takes genuine pride in the quality of their designs, treats solution architecture as a core craft of data engineering, and is energized by the new use cases the age of AI presents, helping make our data platform reliable for people and legible to AI systems alike.   responsibilities: Design, implement, and operationalize batch and streaming data pipelines that integrate enterprise and factory data sources (ERP, IIoT, SaaS applications, APIs) into our lakehouses   Support development and maintenance of dimensional data models (star schemas) in our lakehouses that deliver consistent, well-governed metrics to the business   Build reusable frameworks and shared Python libraries (ingestion patterns, incremental loads, telemetry, alerting) that accelerate the whole team, not just one project   Own the engineering lifecycle end to end: Git branching, pull requests, CI/CD pipelines in Azure DevOps, automated testing, and environment promotion   Monitor, troubleshoot, and optimize solutions for reliability, performance, and cost, building data quality validation and pipeline observability into solutions from the start   Embed security and governance into every solution: identity-based authentication, secret management, access control, and responsible handling of sensitive data   Contribute to our growing AI-facing platform capabilities, including semantic search indexes, AI-ready data interfaces, and agent tooling   Partner with stakeholders across manufacturing and business functions, translating their needs into well-designed solutions and communicating to non-technical audiences   Document, share, and support the technical growth of fellow team members   skills/qualifications required: Bachelor's degree in computer science, engineering, or related field AND 5+ years of data engineering experience (manufacturing/CPG preferred)   Expert-level SQL and strong Python (building shared libraries and frameworks, not just scripts); hands-on Spark/PySpark for large-scale transformation   Strong grounding in data warehousing and dimensional modeling (star schemas, Kimball)   Proficiency with Azure data services such as SQL databases, Event Hubs, Functions, Data Factory, Key Vault, and Microsoft Entra   Experience with Azure DevOps or similar: Git, YAML CI/CD pipelines, artifact/package management, and disciplined code review practices   Lakehouse experience (Delta Lake, medallion architecture) in Fabric or Databricks preferred   Working knowledge of KQL (Azure Data Explorer, Eventhouse, or Application Insights) a plus   Exposure to RAG/semantic search or M