Sr. Software Engineer - Data
Authentic
Salary undisclosed
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Description
Authentic is a tech-enabled MGA (managing general agent). We design and run insurance programs for specific kinds of businesses, like restaurants, gyms, and power producers. Brokers bring us the businesses that need coverage, and carriers back our policies. Every program runs on a platform we built ourselves, and we own every line of code behind it. Engineers and insurance experts build it side by side in New York and Dayton, Ohio. Since our founding in 2022, we’ve grown to 80+ people and been named to the 2026 CB Insights Insurtech 50.
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
- 401(k) plan with company match
- Unlimited PTO
- Paid parental leave
About Authentic
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. Brokers bring the data and distribution. We bring everything else: the technology, the capacity, and the underwriting expertise to stand up specialized programs at speed and build them to last. We’re a Series A company backed by top investors, including FirstMark Capital, Zigg Capital, Slow Ventures, Clocktower, Commerce Ventures, and Altai. We’ve grown over 15x in the past year with a massive market opportunity ahead.
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.
Benefits
- 401(k)
- paid time off
- stock options
- parental leave
About this role
Authentic is building the technology backbone for custom insurance programs, and this role puts you at the center of that infrastructure. As Senior Software Engineer for Data, you'd own the data pipelines, warehouse architecture, and quality frameworks that directly enable underwriting, claims, and reporting across the platform. This means designing systems that handle real operational complexity—regulatory compliance, carrier integrations, and scaling with a business that's grown 15x in a year—while keeping them reliable and performant enough that downstream teams can move fast.
The work calls for someone with 5+ years shipping production data systems at scale, comfortable across the modern stack (Snowflake, dbt, Airflow, Python, AWS). Beyond technical depth in data modeling and pipeline development, you'd need the judgment to balance speed with reliability, and the agency to clarify requirements and drive solutions to completion. You'd also be expected to mentor other engineers and set standards for how the team approaches data architecture and governance.
This is an in-office role in New York City at a Series A company with strong backing and clear momentum. If you thrive owning complex data systems end-to-end, working cross-functionally with engineering and product, and want to shape how a growing company thinks about data infrastructure, it's worth a closer look.
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Pay for this role
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