Software Engineer - Data

Summary

Authentic is transforming how insurance is distributed by providing technology platforms for insurance brokers. The role involves designing and building reliable data pipelines and infrastructure to support underwriting models, claims processing, and operational reporting.

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

Skills

• 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

Qualifications

Must Haves

• 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

Benefits

• 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