Data Engineer

Job Description

Job Description

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.

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. 

Qualifications

• 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.