3-5 years of experience building and maintaining data pipelines in production environments
Strong proficiency with Snowflake, dbt, and Airflow (or similar tools)
Experience with Python for developing data processing
Solid understanding of data modeling best practices
Familiarity with AWS data services and infrastructure-as-code
Demonstrated ownership mindset with strong problem-solving skills
Proven ability to balance speed and precision in system development
Responsibilities
Design and build reliable data pipelines for underwriting models and reporting
Own data models from ingestion to delivery, ensuring quality and accessibility
Identify and resolve bottlenecks in data workflows for improved performance
Build and optimize data warehouse architecture for diverse use cases
Collaborate with cross-functional teams to meet data needs
Implement monitoring and quality checks to preemptively spot issues
Contribute to data governance, including documentation and access controls
Benefits
Competitive salary, equity, and role trajectory
Comprehensive health benefits for employee and family
401(k) plan with company match
Unlimited PTO
Paid parental leave
Full Job Description
Responsibilities
Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
Own data models end-to-end-from source ingestion through transformation to delivery-ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases
Partner with engineering, product, and ops teams to understand data needs and translate them into well-designed pipelines and models
Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs
Experience
3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
Experience with Python for data processing and pipeline development
Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
Familiarity with AWS data services and infrastructure-as-code
Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
Track record of building reliable systems without sacrificing velocity-you know when to move fast and when to be careful
Our (FTE) benefits
Competitive salary, equity, and role trajectory
Comprehensive health benefits for you and your family
