Senior Engineer, Data Engineering & Analytics

KeHE Distributors, LLC•Naperville, IL

74d

About The Position

The Senior DEA Engineer is a highly capable individual contributor who works autonomously, owns complex technical problems end-to-end, and improves the quality and effectiveness of the team without formal people-management responsibilities. The role emphasizes system-level thinking, technical ownership, leadership through influence, solving ambiguous problems, mentoring others, and shaping solution design. It requires strong proficiency in the team's primary technology stack, understanding of system design, APIs, integrations, and distributed systems, and strong testing, debugging, and performance-optimization skills. It is the top role on the individual-contributor core track before potential progression into people leadership or deep technical leadership. The engineer designs and implements complex software features and systems, owns technical solutions from design through operational support, leads technical design discussions, and collaborates with product managers, designers, and other stakeholders to deliver customer value. The role uses logs, metrics, and analytics to guide decisions and improve performance and reliability, mentors other engineers, and continuously improves engineering practices, tools, and workflows. KeHE expects all actions to be consistent with its Mission, Vision, and Values.

Requirements

At least 5 years of experience with data engineering technologies, including SQL, Python, and Spark, and cloud platforms such as AWS, Azure, or GCP.
Deep knowledge of data architecture, modeling, governance, and integration best practices.
Strong experience with MLOps, analytics platforms, and BI tools such as Power BI and Tableau.
Ability to set technical vision, influence architecture strategy, and mentor senior engineers.
Product mindset and ability to connect technical decisions to business outcomes.
Excellent leadership, communication, and stakeholder-management skills.
Deep proficiency in programming languages, frameworks, and software design patterns, with the ability to architect and implement complex systems.
Ability to design scalable, resilient systems and evaluate architectural trade-offs while adhering to engineering and security standards.
Ability to partner effectively with product, design, QA, and engineering teams, communicate technical concepts clearly, and resolve ambiguity in complex initiatives.
Ability to use metrics, logs, and analytics to assess system performance, inform decisions, and design systems with strong observability practices.
Ability to guide technical decisions, mentor engineers, support onboarding, and contribute to engineering best practices.
Bachelor’s degree in computer science, software engineering, or a related field, or similar coding education alternatives to traditional four-year degrees; the degree is preferred.

Nice To Haves

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

Responsibilities

Design and implement complex software features and systems that are scalable, maintainable, well-tested, and aligned with architectural and security standards.
Own technical solutions end-to-end, including design, implementation, testing, deployment, and operational support, while ensuring long-term system health and reliability.
Lead technical design discussions and solution planning, evaluate trade-offs, and guide the team toward sound engineering decisions.
Collaborate 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, design for observability, and continuously improve performance and reliability.
Mentor and support engineers, share knowledge, help onboard team members, and contribute to engineering capability across the team.
Improve engineering practices and technical capabilities by staying current with emerging technologies and introducing improvements to development patterns, tools, and workflows.