Senior Engineer, Data Engineering & Analytics

KeHE Distributors is an employee-owned distributor of natural, organic, specialty, and fresh products focused on creating solutions and serving others. The Senior Engineer, Data Engineering & Analytics role owns complex data engineering and software systems end-to-end, leads technical design, improves reliability and performance, and mentors other engineers.

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

Requirements:

• The Senior Engineer is expected to have strong proficiency in the team's primary tech stack, solid understanding of system design principle, comfort with APIs, integrations and distributed systems and strong testing, debugging and performance optimization 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 ensuring adherence to engineering and security standards
• Ability to partner effectively with product, design, QA, and engineering teams, clearly communicate technical concepts, and resolve ambiguity in complex initiatives
• Ability to leverage metrics, logs, and analytics to evaluate system performance, inform decisions, and design systems with strong observability practices
• Ability to guide technical decisions, mentor engineers, support onboarding, and contribute to the development of engineering best practices within the team
• 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
• Bachelor's degree in computer science, software engineering, or a related field preferred or similar coding education alternatives to traditional four-year degrees