Sr. Software Engineer - Data ($190k-$220k + Equity) at Authentic Insurance
About the role
Authentic Insurance is a high-growth Series A insurtech building the AI-native distribution layer for program insurance. Backed by top-tier investors like FirstMark Capital and Zigg Capital, Authentic has grown 15x in the last year, providing a technology platform that allows brokers to create and manage custom insurance products at speed. Located in New York, USA.
Why this role is remarkable: True zero-to-one ownership — you aren't just maintaining a system; you are building the entire data foundation, including the warehouse architecture and modeling standards, for a fast-scaling startup. Incredible growth and backing — join a Series A company that grew 15x last year, supported by premier investors like FirstMark Capital, Slow Ventures, and Commerce Ventures. Real-world impact at scale — build the data infrastructure that supports massive risk capital partners like QBE and TransRe, directly influencing the efficiency of a multibillion-dollar insurance market.
Responsibilities
- Lead the design and implementation of production data pipelines using Snowflake, dbt, and Airflow to power underwriting models and operational reporting.
- Architect the data warehouse to balance high-performance analytical needs with long-term scalability and strict regulatory compliance requirements.
- Develop comprehensive monitoring, alerting, and data governance frameworks, including lineage tracking and access controls, to ensure high data quality and reliability.
Requirements
- At least 5 years of professional experience building and maintaining production data infrastructure, with deep proficiency in Python for data processing.
- Minimum of 3 years of hands-on expertise with the modern data stack, specifically Snowflake, dbt, and Airflow (or similar orchestration tools).
- Proven track record of high agency and ownership, ideally having built data platforms from scratch within a high-growth startup environment.
Skills
- Python
- Snowflake
- dbt