Senior Engineer, Data Engineering & Analytics

KeHE Distributors, LLC•Naperville, IL

About The Position

At KeHE, we’re obsessed with creating solutions, unboxing potential, and serving others – and it all starts with you. As an employee-owned distributor of natural and organic, specialty, and fresh products, we’re committed to making a positive impact and scaling our success together. With a culture that fosters development and opportunity, you’ll be embarking on a career that’s moving forward. When you join KeHE, you’re becoming part of a team that is a force for good.

Requirements

5+ years of experience with data engineering technologies (SQL, Python, Spark) and cloud platforms (AWS/Azure/GCP).
Deep knowledge of data architecture, modeling, governance, and integration best practices.
Strong experience with MLOps, analytics platforms, and BI tools (Power BI, Tableau).
Proven ability to set technical vision, influence architecture strategy, and mentor senior engineers.
Product mindset with ability to connect technical decisions to business outcomes.
Excellent leadership, communication, and stakeholder management skills.

Nice To Haves

Bachelor’s degree in computer science, software engineering, or a related field preferred or similar coding education alternatives to traditional four-year degrees.

Responsibilities

Design and implement complex software features and systems, ensuring solutions are scalable, maintainable, well-tested, and aligned with architectural and security standards.
Own technical solutions end-to-end, from design through implementation, testing, deployment, and operational support, ensuring the long-term health and reliability of the system.
Lead technical design discussions and solution planning, evaluating trade-offs and guiding the team toward sound engineering decisions.
Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into effective technical solutions that deliver customer value.
Use logs, metrics, and analytics to inform engineering decisions, designing systems with observability in mind and continuously improving performance and reliability.
Mentor and support other engineers, sharing knowledge, helping onboard new team members, and contributing to the growth of engineering capability across the team.
Continuously improve engineering practices and technical capabilities, staying current with emerging technologies, introducing improvements in development patterns, tools, and workflows.