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Authentic (authenticinsurance.com)

Software Engineer - Data

Posted 2 Days Ago
Easy Apply
In-Office
New York, NY, USA
Mid level
Easy Apply
In-Office
New York, NY, USA
Mid level
Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.
The summary above was generated by AI

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

  • 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

Experience

  • 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

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.

Top Skills

Airflow
AWS
Dbt
Python
Snowflake
HQ

Authentic (authenticinsurance.com) New York, New York, USA Office

41 University Place, New York, New York, United States, 10003

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