Senior Data Engineer – Snowflake, AWS, SQL – High-Growth AI InsurTech – US / Remote – Eastern or Central Time – $155,000 – $195,000 + Equity + Benefits

We have partnered with one of the most exciting AI companies transforming the insurance industry today. Recently named among the 100 Most Promising AI Companies in the World, they are redefining how insurers assess risk, make decisions and serve customers through cutting-edge artificial intelligence. Their platform enables some of the world's largest insurance carriers to process submissions at scale, automate complex underwriting workflows and make faster, more informed decisions backed by AI.

With significant commercial traction, billions in premium processed through their platform and backing from leading investors including Salesforce Ventures, they have quickly established themselves as a category-defining player at the intersection of AI and insurance. As they continue to scale, they are looking for a Senior Data Engineer to play a pivotal role in shaping the data foundations that power their AI products.

The Opportunity

This is more than a traditional Data Engineering role. You'll take ownership of a mission-critical data platform, influence company-wide data strategy and build the infrastructure that supports AI models making real-world business decisions at scale.

Working closely with senior leadership, AI teams and platform engineers, you'll help create a trusted, scalable and governed data ecosystem that drives innovation across the business.

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

What We're Looking For

• 7+ years of Data Engineering experience with strong architectural ownership
• Deep expertise in Snowflake, SQL and Python
• Background within Insurance, InsurTech, MGA, Reinsurance or P&C environments
• Experience building modern data platforms and data governance frameworks
• Strong understanding of AI/ML ecosystems and data infrastructure
• Ability to communicate complex technical concepts to both technical and business stakeholders
• Knowledge of regulatory and compliance requirements including GDPR and CCPA

Bonus Points For

• Experience with multi-region data platforms and data residency challenges
• Exposure to customer-facing analytics products
• Experience building AI-powered data agents or intelligent data solutions

Why Join?

• Work on cutting-edge AI products solving complex real-world problems
• Join a high-growth company already processing billions in premium volume
• Influence strategy and architecture from day one
• Competitive compensation, equity and comprehensive benefits
• Unlimited PTO, parental leave, 401(k) match and your birthday off
• Fully remote working environment

How To Apply?

If you are interested in applying for the Senior Data Engineer position, please submit your application via the link on this page or send your CV directly to [email protected]. For a confidential discussion about the role, please contact Digital Republic Talent on +1 737 2567409.

You can also explore other opportunities at www.digitalrepublictalent.com/jobs and follow Digital Republic Talent on LinkedIn, Instagram, and Facebook for the latest market insights and career opportunities.