Software Engineer - Data
Indexed 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
- 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
- Competitive salary, equity, and role trajectory
- Comprehensive health benefits for you and your family
- 401(k) plan with company match
- Unlimited PTO
- Paid parental leave
Authentic is committed to building an inclusive working environment regardless of gender, sexual orientation, religion, ethnicity, race, education, age, or other personal characteristics. We believe that people do their best work when they can be themselves, and different perspectives and experiences make us stronger as a team. We're proud of the supportive and inclusive workplace we're building together and are always working to make it even better.
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