Sr. Software Engineer - Data

Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business. Responsibilities Lead the design and implementation of data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting—taking ownership from problem definition through delivery Own the data warehouse architecture, making decisions that balance analytical performance, operational needs, and long-term scalability Set technical standards and best practices for data modeling, pipeline development, and data quality across the team Identify bottlenecks across the data stack and build solutions that improve reliability, reduce latency, and scale with business growth Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed systems Build monitoring, alerting, and data quality frameworks that catch issues before they impact downstream consumers Drive data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs Mentor and coach other engineers on the team, helping them grow technically and develop ownership mindsets Experience 5+ years of experience building and maintaining data pipelines and infrastructure in production environments at scale Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools) Deep