Senior Data Engineer

About this role

Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and friction-free, especially in the places traditional insurers often ignore.


We Empower People To Protect What Matters Most, Starting With Their Homes And Expanding To All They Value, In a World Where Climate Risks, Rising Costs, And Outdated Systems Leave Too Many Behind. Our Approach Has Fostered Amazing Growth, Attracted Marquee Investors, And Earned Us Accolades, Including Being Named To

• Built In Chicago's Best Places to Work, Midsize Companies (2021-2025).
• Forbes' America's Best Startup Employers (2021- 2024, Ranked #37 in 2024).
• Inc. 5000 Fastest-Growing Private Companies.
• Forbes’ Fintech 50.

Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission.


So What’s the Role?
As a Senior Data Engineer, you will play a pivotal role in ensuring the quality, integrity, and security of Kin’s data assets. You’ll be responsible for building out a data lakehouse for enterprise reporting, which will involve the design and development of production-ready data pipelines, modeling raw data for downstream reporting, and quality assurance of the data warehouse.


What You’ll Do
You’ll work on a cross-functional project team with members from AppEng, DataEng, BI, and Kin’s business to design solutions for effective reporting. You’ll implement data validation standards and QA procedures to ensure effective data lifecycle and management practices. This involves:

• Designing and developing scalable data pipelines and models for downstream analytics and reporting
• Leading and collaborating with a cross-functional project team to implement data validation, QA standards, and effective data lifecycle management
• Optimizing pipeline performance, cost, and data quality...