Senior Data Engineer

• →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 

• 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 MCP tool integrations a plus 
• Experience with manufacturing/factory data (MES, historians, IIoT streaming) a plus 
• Excellent communication skills, comfortable engaging non-technical stakeholders 
• Detail-oriented self-starter with a growth mindset and ability to handle ambiguity 
• A natural team player with a habit of helping, documenting, and sharing

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 balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’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.