Senior Data Engineer - Analytics & ML Ops

KeHE Distributors, LLC; Naperville (IL); Sur place; USD 96 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health/Rx

Dental

Vision

FSA/HSA

ESOP

401(k)

PTO

Sick time

Short/Long disability

Holiday pay

Résumé du poste

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

Responsabilités

• 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.

Connaissances

Deep programming skills

System design

APIs & distributed systems

Observability

Mentoring engineers

Leadership influence

Formation

Bachelor’s degree in CS/SE or related field

Outils

Power BI

Tableau

Description du poste

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.