Senior Data Engineer

Overview A growth focused investment firm is hiring a Data Engineer to join a forward deployed engineering group that partners directly with portfolio companies during critical scaling phases. This Chicago based role blends cloud data engineering, analytics, and AI enabled workflows, with hands on exposure to real operational systems across manufacturing and supply chain environments. This is not a maintenance data role nor a pure BI position. You’ll be embedded with operating teams, solving high impact data problems where clarity is low and stakes are high. The ideal candidate thrives in ambiguity, enjoys learning new tech stacks quickly, and wants their work to directly influence how businesses run, scale, and make decisions. Travel is meaningful but purposeful; you’re there to build, not observe. Required Skills & Experience 3+ years of professional data or analytics engineering experience Strong SQL and Python skills Experience designing and maintaining ETL/ELT pipelines Hands on work with cloud platforms (AWS, Azure, or GCP) Experience building dashboards in tools like Looker, Tableau, Power BI, or Metabase Comfort working with messy, evolving datasets and unclear requirements Desired Skills & Experience Experience with dbt, Kafka, Spark, Airflow, or Beam Exposure to manufacturing, supply chain, or operational data Experience supporting audits, reporting, or operational analytics Familiarity with AI enabled data workflows (RAG pipelines, vector databases, or LLM APIs) IaC or CI/CD exposure The Offer Bonus eligible You Will Receive The Following Benefits Medical, Dental, and Vision Insurance Vacation Time Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Posted By: Rose Baldonado #J-18808-Ljbffr Motion Recruitment