Senior Data Engineer

📋 Description

• • Build Kin’s next-generation lakehouse architecture, design scalable pipelines, and ensure trusted, secure data for enterprise reporting in a fast-growing insurtech.
• • Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting; lead migration from Redshift/DBT to modern lakehouse (S3, Glue, Databricks, Unity Catalog); implement data validation, QA standards, and lifecycle management; optimize pipeline performance, cost, and data quality; ensure compliance with GDPR, CCPA, GLBA; collaborate with App Engineering, BI, and business teams; mentor data engineers and promote best practices; leverage AI-assisted development tools.
• • Kin is a remote-first insurtech founded in 2016, serving homeowners in 13+ states with a mission to make insurance simpler, more affordable, and better through data, technology, and human support; recognized as a Best Place to Work, Forbes’ America’s Best Startup Employer, Inc. 5000, and Great Places to Work Certified.
• • Own the delivery of a scalable lakehouse architecture supporting reliable enterprise reporting; improve data quality and stakeholder trust through consistent validation and QA; enable cross-functional partners to make faster, better-informed decisions using production-ready datasets; grow as a trusted owner and contributor to Kin’s mission of fixing insurance for those who need it most.