Senior Data Engineer

Senior Data EngineerChicago, Illinois, United Statesfairlife, 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.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 lakehousesSupport development and maintenance of dimensional data models (star schemas) in our lakehouses that deliver consistent, well-governed metrics to the businessBuild reusable frameworks and shared Python libraries (ingestion patterns, incremental loads, telemetry, alerting) that accelerate the whole team, not just one projectOwn the engineering lifecycle end to end: Git branching, pull requests, CI/CD pipelines in Azure DevOps, automated testing, and environment promotionMonitor, troubleshoot, and optimize solutions for reliability, performance, and cost, building data quality validation and pipeline observability into solutions from the startEmbed security and governance into every solution: identity-based authentication, secret management, access control, and responsible handling of sensitive dataContribute to our growing AI-facing platform capabilities, including semantic search indexes, AI-ready data interfaces, and agent toolingPartner with stakeholders across manufacturing and business functions, translating their needs into well-designed solutions and communicating to non-technical audiencesDocument, share, and support the technical growth of fellow team membersSkills/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 transformationStrong 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 EntraExperience with Azure DevOps or similar: Git, YAML CI/CD pipelines, artifact/package management, and disciplined code review practicesLakehouse experience (Delta Lake, medallion architecture) in Fabric or Databricks preferredWorking knowledge of KQL (Azure Data Explorer, Eventhouse, or Application Insights) a plusExposure to RAG/semantic search or MCP tool integrations a plusExperience with manufacturing/factory data (MES, historians, IIoT streaming) a plusExcellent communication skills, comfortable engaging non-technical stakeholdersDetail-oriented self-starter with a growth mindset and ability to handle ambiguityA natural team player with a habit of helping, documenting, and sharingHow fairlife nourishes you:At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.Comprehensive medical, dental, and vision coverage, effective day one!Supplemental health plans (hospital indemnity, accident, and critical illness insurance)Paid Time Off to recharge and support work-life balancePaid parental leave & adoption assistance (up to $10,000)Parental support & family care benefits, including childcare resources and lactation support401(k) to support retirement planning with up to 9% in employer matchWellness reimbursement (up to $500 for qualified wellbeing expenses)Employee Assistance Program (EAP) for emotional wellbeing and work-life supportCompany-paid life insurance and short-term disabilityEmployer HSA funding (for HDHP participants)Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)Learning & development programs to unlock your full potentialRewards & recognition, matching gifts, free product, and Business Resource Groupsfairlife's nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.This position requires current authorization to work in the United States. Visa sponsorship is not available for this position.Position location: Chicago, ILReports to: Director, Data EngineeringTravel requirements: <10%Exempt/Nonexempt: Exempt*Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.Base pay range:$110,000 - $125,000 USDfairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.