Authentic
Sr. Software Engineer - Data
New York, New York, United States · Senior
Sponsorship not specifiedDetected 77 days ago
PythonSnowflakeAWSAirflowdbtData EngineeringMentoringUnderwritingClaims Management
About the role
- 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.
- Brokers bring the data and distribution.
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
- 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
- Demonstrated high agency and ownership: you naturally clarify what "good" looks like, ask great questions, and drive to completion
- Authentic builds the infrastructure that program insurance runs on.
- We partner with leading brokerages to design and manage custom insurance programs, backed by A and A- rated carriers operating nationwide.
Requirements
- 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)
Skills
- 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
Compensation
- Competitive salary, equity, and role trajectory
Benefits
- Competitive salary, equity, and role trajectory
- Comprehensive health benefits for you and your family
- Paid parental leave
- Our (FTE) benefits
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This listing is sourced directly from Authentic's careers page and normalized into a canonical job model.