Senior Data Engineer – New York / Hybrid – Flexible across US East Coast – AI-driven InsurTech – $140,000 – $160,000 + Equity

A rapidly growing AI-driven InsurTech company is looking to hire its first dedicated Data Engineer to take ownership of the company’s evolving data engineering function and help scale a modern cloud-native data platform.

This is a high-impact opportunity to join a business transforming underwriting and insurance intelligence through AI, analytics, and modern data infrastructure.

You’ll work directly alongside the Chief Data & Analytics Officer to build and operationalize scalable data systems powering AI-driven insights, underwriting intelligence, and strategic decision-making across the organization.

This role is ideal for someone who enjoys ownership, thrives in greenfield environments, and wants to shape the future of data engineering within a high-growth AI company.

What You’ll Be Doing

• Own and scale the company’s data engineering environment end-to-end.
• Build, maintain, and optimize ETL/ELT pipelines across a multi-cloud environment.
• Support the rollout and evolution of a greenfield Snowflake ecosystem.
• Help build and operationalize a modern cloud-based data lake architecture.
• Work across AWS or Azure environments
• Partner closely with product, analytics, and leadership teams to package and surface data insights, trends and recommendations
• Contribute to AI and Generative AI-related data initiatives.
• Drive data quality, monitoring, resilience, and scalability best practices
• Support downstream analytics and AI use cases through well-structured and accessible data infrastructure.

Required Experience

• 7–10+ years of Data Engineering experience
• Strong hands-on Snowflake experience (non-negotiable)
• Experience building and maintaining ETL/ELT pipelines.
• Strong SQL and Python skills
• Experience working across AWS and/or Azure cloud environments.
• Experience with data lakes, warehousing, and modern data architecture
• Understanding of monitoring, resilience, and scalable pipeline design
• Exposure to Generative AI or AI-enabled data workflows
• Ability to operate independently and take ownership in a startup-style environment.
• Insurance Domain Experience Required
• Candidates should come from an insurance background and understand core insurance.

Concepts such as:

• Quotes
• Policies
• Exposure
• Deductibles
• Limits
• Experience within P&C insurance is preferred, though broader insurance experience is also welcomed.

What They’re Looking For

• Intellectually curious mindset
• Strong communication and business understanding
• Someone who understands both the technical and operational side of data.
• Ability to connect data engineering work to real business outcomes
• A builder mentality with strong ownership instincts
• Interview Process: 3-4 interview stages. Fast-moving process with interviews commencing immediately.

How Do You Apply?

If you are interested in applying for the Senior Data Engineer role, please do so via the link on this page or contact Digital Republic on the phone or email.

Get in contact with Digital Republic Talent by sending a mail to [email protected]. Check out the website on www.digitalrepublictalent.com. You can also find our more on Linkedin, Instagram or Facebook.