Senior Data Engineer - Analytics & ML Ops

KeHE Distributors, LLC

Naperville (IL)

On-site

USD 96,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Health/Rx
Dental
Vision
FSA/HSA
ESOP
401(k)
PTO
Sick time
Short/Long disability
Holiday pay

Job summary

KeHE Distributors, LLC is seeking a Senior Data Engineer to own complex data pipelines, drive system design, and mentor engineers within a distributed team. You will collaborate with product and design to deliver scalable solutions, leveraging AWS and modern analytics tools.

The role emphasizes leadership, strong programming, observability, and a product mindset to align technical work with business impact.

Qualifications

  • 5+ years of data engineering with SQL, Python, Spark
  • Deep knowledge of data architecture, governance, and integration best practices
  • Experience with MLOps, analytics platforms, and BI tools (Power BI, Tableau)
  • Ability to set technical vision, influence architecture, and mentor senior engineers
  • Product mindset linking technical decisions to business outcomes

Responsibilities

  • Design and implement complex software features and systems that are scalable, maintainable, and well-tested.
  • Own end-to-end technical solutions from design to deployment and operation.
  • Lead design discussions and guide engineering decisions.
  • Collaborate with product, design, QA to translate requirements into effective solutions.
  • Use logs and metrics to inform decisions and improve performance and reliability.
  • Mentor engineers and help onboard new team members.
  • Continuously improve engineering practices and adopt new technologies.

Skills

Deep programming skills
System design
APIs & distributed systems
Observability
Mentoring engineers
Leadership influence

Education

Bachelor’s degree in CS/SE or related field

Tools

Power BI
Tableau

Job description

KeHE Distributors, LLC is seeking a Senior Data Engineer to own complex data pipelines, drive system design, and mentor engineers within a distributed team. You will collaborate with product and design to deliver scalable solutions, leveraging AWS and modern analytics tools.

The role emphasizes leadership, strong programming, observability, and a product mindset to align technical work with business impact.

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