Senior Data Engineer

Federato is on a mission to defend the right to efficient, equitable insurance for all.

We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc.

Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done.

Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster.

From the moment a submission hits an underwriter’s inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system.

Federato drives better business outcomes.

Role Overview You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization.

Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems.

We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform.

• Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
• Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
• Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
• Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.