Staff Data Engineer

Kin is on a mission to change home insurance from what it is to what it should be. Whether we’re leveraging data to create customizable coverage or providing claims service that goes above and beyond expectations, our members are at the heart of everything we do. In the face of ever-growing climate risk, they deserve an insurance company that cares about them. We aim to stick with our members through thick and thin.

We use efficient technology that lets homeowners buy directly from us to keep costs down. This is the essence of Kin. 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 (2021-2024).
• Forbes' America's Best Startup Employers (2021- 2023).
• 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 Staff 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 data pipelines, modeling raw data for downstream ingestion, and mentoring data engineers across the department.

A day in the life could include...

Leading a cross-functional project team with members from AppEng, DataEng, BI, and business stakeholders tasked with designing a solution to produce effective reporting, implementing data validation standards, and QA procedures to ensure effective data lifecycle and management practices. This involves:

• Establishing trust and relationships with stakeholders while defining technical requirements, ensuring alignment with business goals.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Maintaining a centralized metadata catalog to document data assets, schemas and lineage.
• Ensuring pipelines and storage solutions comply with Kin’s standards on privacy regulations such as GDPR, CCPA, and GLBA.
• Analyzing database configurations to optimize the performance of end user models and dashboards.
• Monitoring data access logs and audit trails to detect unauthorized access or usage of data.

I've got the skills, but do I have the necessary ones?

• 10+ years of experience in data engineering or data integration with a focus on data modeling.
• 2+ years of experience with lakehouse architecture.
• Experience mentoring a team of data engineers and with a record of career growth on the team.
• Experience with data pipeline tools and platforms such as dbt, Databricks, FiveTran, Kafka, and AWS.
• Experienced programmer using languages such as SQL, Python, and/or Java.
• Previous experience with databases such as AWS Redshift, MySQL, Postgres, SQL Server, etc.
• Excellent communication and collaboration skills to engage with stakeholders across different levels of the organization.

Oh, and don’t worry, we’ve got you covered!

• Medical, Dental, Vision, Disability and Life Insurance.
• Flexible PTO policy.
• Remote work.
• Generous equity package.
• 401K with company match.
• Parental leave.
• Continuing education and professional development.
• The excitement of joining a high-growth Insurtech company and seeing your work make an impact.

About Kin

Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit .

EEOC Statement

Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.