Data Engineer

Why Work for KeHE?

• Full-time
• Pay Range: $78,210.00/Yr. - $114,648.00/Yr.
• Shift Days: , Shift Time:
• Benefits on Day 1
  • Health/Rx
  • Dental
  • Vision
  • Flexible and health spending accounts (FSA/HSA)
  • Supplemental life insurance
  • 401(k)
  • Paid time off
  • Paid sick time
  • Short term & long term disability coverage (STD/LTD)
  • Employee stock ownership (ESOP)
  • Holiday pay for company designated holidays
  Overview
  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.
  Primary Responsibilities
  The DEA Engineer is responsible for designing, developing, and maintaining high-quality software solutions that align with business objectives and customer needs. This role involves collaborating with cross-functional product teams to deliver scalable, secure, and efficient applications using modern technologies and agile practices. Engineers are expected to apply a product mindset, embrace continuous integration and delivery, and ensure software quality through rigorous testing and data-driven improvements. Success in this role requires adaptability, strong technical expertise, and a commitment to continuous learning.
  Essential Functions
  • Design, develop, and maintain software features and services, writing clean, maintainable, and efficient code that adheres to established engineering standards and design patterns.
  • Translate product and business requirements into technical solutions, collaborating with product managers, designers, and engineers to ensure solutions align with product goals and user needs.
  • Participate actively in agile development processes, including backlog refinement, sprint planning, standups, and retrospectives, helping ensure work is clearly defined and prioritized.
  • Ensure software quality and reliability, applying testing best practices, integrating code into CI/CD pipelines, and maintaining stable and scalable application components.
  • Collaborate with cross-functional teams, including product, design, QA, and engineering peers, to deliver cohesive and well-integrated product features.
  • Monitor and improve system performance and product usage, using logs, analytics, and performance metrics to validate features and guide improvements after release.
  • Continuously improve engineering practices and technical capabilities, learning new technologies, sharing knowledge with peers, and contributing to improvements in development tools and workflows.
  Minimum Requirements, Qualifications, Additional Skills, Aptitude
  • Strong proficiency in one or more programming languages and frameworks, with the ability to design maintainable code and apply design patterns and engineering best practices.
  • Ability to understand product goals and user needs and translate them into effective technical solutions that deliver business value.
  • Ability to work effectively with product managers, designers, QA, and engineers to deliver high-quality features and resolve technical or delivery challenges.
  • Ability to incorporate analytics, logs, and system metrics into development and validation processes to continuously improve product performance and reliability.
  • Ability to quickly learn new technologies, adapt to evolving product priorities, and actively contribute to team knowledge-sharing and engineering improvement initiatives
  EDUCATION AND EXPERIENCE:
  • At least three years of professional experience with data engineering tools and cloud platforms (e.g., SQL, Python, Spark, AWS/Azure/GCP)
  • Strong understanding of data modeling, architecture, and governance best practices.
  • Experience with analytics, BI, and visualization tools (e.g., Power BI, Tableau)
  • Familiarity with ML/AI engineering, MLOps, and model deployment practices.
  • Expertise in data integration, API design, and event-driven architectures.
  • Product mindset with ability to prioritize by value, outcomes, and customer impact.
  • Excellent communication and collaboration skills across technical and business teams.
  • Bachelor’s degree in computer science, software engineering, or a related field preferred or similar coding education alternatives to traditional four-year degrees.
  PHYSICAL REQUIREMENTS:
  These physical demands are representative of the physical requirements necessary for an employee to successfully perform the essential functions of the job.
  Requisition ID
  2026-30225
  Equal Employer Opportunity Statement
  KeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.