JOBS

KeHE seeks a Lead Data Engineer to join their team. 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.
Pay range is $129,910.00/Yr. – $160,000.00/Yr. Benefits: 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.
Essential Functions:

• 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 DevOps/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.