Data Engineer at KeHE Distributors in US-IL-Naperville

Job description

• 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.

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.
• 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.

Requirements

• 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
• At least thre e year s 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, s oftware e ngineering, or a related field preferred or similar coding education alternatives to traditional four-year degrees .

Skills

Required

• Product mindset
• Adaptability
• Commitment to continuous learning
• SQL
• Python
• Spark
• AWS/Azure/GCP
• Power BI
• Tableau
• ML/AI engineering
• MLOps
• Model deployment

Benefits

• Full-time
• Pay Range: $78,210.00/Yr. - $114,648.00/Yr.
• 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