Lead Data Engineer

Why Work for KeHE?

• Full-time
• Pay Range: $/Yr.
  
  - $/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

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.

The DEA Lead Engineer is a hybrid role combining technical leadership and people management. This position is responsible to guide and coach Engineers (50% people leadership) as well as to deliver hands‑on engineering and analytics solutions (50% technical delivery). The role partners with the Product Owner and other stakeholders to ensure high quality and flawless execution and measurable business value.

Primary Responsibilities:

• Lead the technical execution of engineering initiatives, guiding design decisions, conducting code reviews, and ensuring adherence to engineering standards and best practices.

• Lead and mentor high‑performing engineering teams. Set clear expectations, career paths, and performance standards. Foster a culture of accountability, collaboration, and continuous improvement by providing coaching, performance feedback, and career development support while maintaining development plans and succession planning for team members.

• Oversee delivery planning and execution, helping remove blockers, balancing hands‑on development with technical oversight, and ensuring timely and high‑quality delivery of software solutions.

• Drive operational reliability and engineering maturity, monitoring system health through defined SLOs/SLIs, leading root‑cause analysis efforts, and implementing Dev Ops/SRE practices that improve stability and reduce incident frequency.

• Partner closely with product and business stakeholders, contributing technical insights during backlog preparation and prioritization while ensuring proposed solutions are technically feasible and aligned with roadmap goals.

• Solve complex technical challenges and guide architectural decisions, contributing hands‑on engineering work while setting high standards for coding, system design, and engineering quality.

• Promote a strong engineering culture, modeling accountability, collaboration, and continuous improvement while supporting adoption of agile and product‑driven development practices.

• Strong technical expertise in designing and delivering complex software solutions while maintaining high standards for quality, maintainability, and performance.
• Ability to guide engineers through technical challenges, provide constructive feedback, and foster professional growth across the team.
• Ability to coordinate development work, manage technical risks, address technical debt, and ensure predictable delivery of engineering initiatives.
• Knowledge of system reliability engineering, monitoring, observability, and incident management practices that improve system stability and operational maturity.
• Ability to translate business and product requirements into technical solutions while effectively communicating trade‑offs and feasibility considerations to stakeholders.

EDUCATION AND EXPERIENCE:

• 7+ years of experience in data engineering and analytics, including at least 2 years in a leadership or coaching role.
• Expertise in technologies including but not limited to SQL, Python, Spark and cloud platforms (AWS/Azure/GCP).
• Deep knowledge of data architecture, modeling, governance, and integration best practices.
• 1+ years of people management responsibilities
• Demonstrated success in delivering enterprise‑scale data solutions and mentoring technical teams.
• Experience…