5+ years in building and maintaining production data pipelines
Strong proficiency with Snowflake, dbt, and Airflow
Deep experience with Python for data processing
Expert understanding of data modeling best practices
Familiarity with AWS data services
Demonstrated high agency and ownership in projects
Track record of balancing system reliability and velocity
Responsibilities
Lead design and implementation of data infrastructure for underwriting and claims processing
Own data warehouse architecture balancing performance and scalability
Set technical standards for data modeling and pipeline development
Identify bottlenecks in data stack and create solutions
Collaborate with cross-functional teams to understand data needs
Build monitoring frameworks to catch data issues early
Drive data governance practices and documentation
Mentor and coach engineers to develop their technical skills
Benefits
Competitive salary, equity, and career growth opportunities
Comprehensive health benefits for employees and families
401(k) plan with company matching
Unlimited paid time off
Paid parental leave
Full Job Description
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 experience with Python for data processing and pipeline development
Expert understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, data vault, etc.)
Familiarity with AWS data services and infrastructure-as-code
Demonstrated high agency and ownership: you naturally clarify what "good" looks like, ask great questions, and drive to completion
Track record of building reliable systems without sacrificing velocity-you know when to move fast and when to be careful
Experience mentoring engineers and elevating team capabilities
Our (FTE) benefits
Competitive salary, equity, and role trajectory
Comprehensive health benefits for you and your family
