Senior Data Engineer

Chicago, IL, US • Posted 7 days ago • Updated 8 hours ago
Full Time
On-site
$150000 - $230000/yr
Fitment

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Job Details

Skills

  • Recruiting
  • Data Engineering
  • Business Intelligence
  • Embedded Systems
  • Clarity
  • Stacks Blockchain
  • SQL
  • Python
  • Extract
  • Transform
  • Load
  • ELT
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Tableau
  • Microsoft Power BI
  • Apache Kafka
  • Apache Spark
  • Manufacturing
  • Supply Chain Management
  • Auditing
  • Vector Databases
  • Continuous Integration
  • Continuous Delivery
  • Dashboard
  • Reporting
  • IaaS
  • Artificial Intelligence
  • Workflow
  • Analytics
  • Leadership
  • Collaboration
  • Knowledge Sharing
  • Insurance
  • SAP BASIS

Summary

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 Google Cloud Platform)
  • 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
What You Will Be Doing
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
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 879392
  • Posted 7 days ago
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