About the job
We are seeking a visionary Data Engineering Manager to lead a talented team of data engineers in designing and implementing scalable data pipelines and platforms that empower analytics, data science, and strategic business decisions across Kin.
About Kin
At Kin, we strive to simplify and enhance the lives of homeowners, particularly in areas facing climate challenges, escalating costs, and outdated systems. Beginning with innovative homeowners insurance, we are expanding our offerings to encompass everything homeowners need to flourish. Leveraging data, cutting-edge technology, and compassionate human support, we're crafting products that are transparent, equitable, and instill confidence in homeowners during critical times.
Founded in 2016, Kin is a fully remote company with a diverse team spread across over 35 states. Our services currently reach 13 states and are continuously expanding. Our commitment to disciplined growth, customer satisfaction, and sustainability has garnered significant recognition, including:
Built In Chicago's Best Places to Work, Midsize Companies (2021-2026)
Forbes' America's Best Startup Employers (2021-2024)
Inc. 5000 Fastest-Growing Private Companies
Forbes’ Fintech 50 (2025-2026)
Great Places to Work Certified (2024-2026)
Most importantly, Kin is committed to creating a work environment where employees can engage in meaningful work with tangible impacts for our customers, communities, and each other. We invite you to explore how you can contribute to our ambitious growth, solid unit economics, profitability, and outstanding customer ratings. To learn more about our operations and what we are building, visit kin.com and see our culture in action.
The Role
As a Data Engineering Manager, you will oversee the development and evolution of the systems that support data across Kin. This pivotal role is designed to fortify the infrastructure that enables our Business Intelligence, Data Science, and Machine Learning teams to operate more efficiently, make informed decisions, and deliver significant value to our clients.
You will manage a team of data engineers tasked with constructing reliable, scalable, and effectively governed data systems. In this phase of continued expansion and increasing data complexity, you will help define our data platform's scalability while balancing immediate operational needs with long-term technological investments.

