[Hiring] Staff Data Engineer @Sixfold

Role Description

Insurance underwriting runs on human judgment, manual workflows, and knowledge locked in someone's head. It breaks when that person leaves and doesn't scale when the book doubles. Sixfold is building AI agents that understand risk the way a 20-year veteran underwriter does. Not summaries or flags, but systems that make real decisions on billions in premium for some of the world's largest carriers. AI is the product and the workflow. The Senior Data Engineer makes sure the data powering those decisions is trusted, governed, and built to scale.

If you live and breathe Data and AI tools, understand how models work under the hood, and can translate that into business outcomes for a room full of skeptical underwriters, this role was written for you.

Responsibilities

• Lead data platform strategy and execution.
• Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes.
• Own the Snowflake data lake end to end.
• Develop, maintain, and evolve the platform and its associated services — from ingestion to serving.
• Build governance that actually works.
• Drive cross-functional data initiatives.

What Success Looks Like

• Within 30 days: Completed a deep orientation into the Snowflake platform, existing data models, and governance infrastructure.
• Within 60 days: Made your first meaningful platform contributions.
• Within 90 days: Owned a substantive initiative end-to-end.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 7+ years of data engineering experience, including senior or lead scope with real architectural ownership.
• Deep and current expertise in Snowflake: dynamic tables, openflow, replication, masking and row access policies, performance tuning, Snowflake intelligence.
• Strong technical toolkit: expertise in SQL and Python, and use of generative AI as a natural part of building and thinking.
• Experience in insurance, ideally at a P&C carrier, MGA, reinsurer, or insurtech.
• Experience leading architecture decisions and bringing others along, engineers and non-engineers alike.
• Intellectually curious, asking better questions when something doesn't add up.
• Experience working within AI/ML governance frameworks and understanding regulatory requirements like GDPR and CCPA.

Bonus Points If…

• You've built or operated data platforms across multiple regions and have wrestled with data residency constraints firsthand.
• You've had exposure to customer-facing analytics products.
• You’ve built a data agent that understands multiple data sources and provides actionable insights.

Compensation

• Expected salary: $155,000 - $195,000 + equity + benefits.
• Comprehensive benefits, 401(k) with employer match, parental leave, unlimited PTO, and your birthday off!

Accessibility Commitment

We are committed to accessibility and provide reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout our recruitment process. If you have any difficulty using our online system and you need accommodation due to a disability, please reach out to us directly at (646) 847-8824.