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Senior Data Engineer
Motion Recruitment Partners, LLCChicago, IL🇺🇸United StatesPosted 9 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
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
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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 Google Cloud Platform)
- Experience building dashboards in tools like Looker, Tableau, Power BI, or Metabase
- Comfort working with messy, evolving datasets and unclear requirements
- 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
Tech Breakdown
- 40% Data pipelines & backend systems
- 30% Analytics, dashboards, and reporting
- 20% Cloud infrastructure & monitoring
- 10% AI enabled data workflows
Daily Responsibilities
- 80% Hands on engineering and analytics
- 10% Stakeholder collaboration with operators and leadership
- 10% Internal team collaboration and knowledge sharing
The Offer
- Bonus eligible
- 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.
Skills
SQL
AWS
ETL
Looker
Metabase
Tableau
Airflow
Azure
Google Cloud
Kafka
LLM
Power BI
Python
dbt
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