Senior Data Engineer

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

Comprehensive medical, dental, and vision coverage, effective day one!

Supplemental health plans (hospital indemnity, accident, and critical illness insurance)

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)

Data Engineer will play a key role in delivering

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

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.

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