Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the data infrastructure that is essential to the product, rather than a peripheral system.

• Engage with genuinely challenging, intricate, and high-value insurance data.

• Develop the pipelines and models that underpin all analytical and AI-driven initiatives.

• Construct and manage ingestion pipelines from agency management systems, carriers, and documents.

• Design transformation layers (bronze → silver → fact) and the models that facilitate insights and dashboards.

• Model and optimize data across Postgres and ClickHouse for accuracy, performance, and cost efficiency.

• Specify dataset configurations, KPIs, and reconciliation checks that ensure data integrity.

• Coordinate reliable, observable data jobs and maintain data quality throughout the process.

⛳️ Requirements

• Over 2 years of experience in building production data pipelines with proficiency in SQL and Python.

• Solid experience in relational modeling (Postgres) and a comfort level with large analytical datasets.

• Proven ability to transform messy, inconsistent source data into dependable product functionalities.

• Strong sense of ownership and the ability to thrive in a fast-paced environment.

• Bonus points for experience with ClickHouse or other columnar/analytical databases.

• Bonus points for familiarity with workflow orchestration tools (e.g., Temporal, Airflow, Dagster).

• Bonus points for exposure to insurance, fintech, or other data-intensive domains.

🏝️ Benefits

• A high-impact position with ownership from day one.

• Competitive salary and significant equity options.

• Direct collaboration with founders and real users.

• Flexibility with a remote-first work culture.

• An opportunity to contribute to the development of an AI-native product from the ground up.