Sr. Software Engineer - Data

Reposted 2 Hours Ago
New York, NY, USA
In-Office
Senior level
Insurance
The Role
Lead the design and implementation of data pipelines and infrastructure, set technical standards, mentor engineers, and manage data governance.
Summary Generated by Built In

Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. 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. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.

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 is transforming how insurance is distributed. We design and power custom insurance programs, helping brokers and partners unlock better economics and deliver a modern, tech-enabled experience to their clients. 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 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.

Skills Required

  • 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
  • Familiarity with AWS data services and infrastructure-as-code
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The Company
HQ: New York City, New York
24 Employees

What We Do

We empower community leaders (associations, SaaS companies, affinity groups, etc.) to launch captive insurance programs. Learn more about Authentic and captive insurance on our website! Insurance was a simple structure for communities to pool assets for a rainy day. At Authentic, we’re returning insurance to these roots. Modern communities exist outside of geographic boundaries; our platform uses technology to restore the simplicity of insurance.

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