Hiring: Senior Data Engineer Company: fairlife Location: Chicago, IL Job Posted Time: 2026-09-03 11:13:43 Employment Type: Hybrid Target Skills & Keywords : Azure, Azure DevOps, CI/CD, Data Pipeline, Databricks, Delta Lake, Git, Manufacturing Execution Systems, PySpark, Python, RAG, SQL, SaaS, Spark, Vault About the job Experience: •5+ years of data engineering experience (manufacturing/CPG preferred) Required Skills: •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 Qualifications: •Bachelor's degree in computer science, engineering, or related field AND 5+ years of data engineering experience (manufacturing/CPG preferred) Compensation: •$120,000 - $140,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!