Senior Data Engineer

NYC • New York, NY

8d • Hybrid

About The Position

Leopard is an early-stage B2B Insurtech startup on a mission to reinvent how life insurance and annuities are built, distributed, and experienced. We are seeking a full-time Senior Data Engineer who is excited to help us build the next-generation, AI-native life insurance platform - from the capabilities of the technology itself to the culture of engineering excellence that powers it. In this role, you will own and expand our numerous data pipelines and collaborate closely with our CTO and Data Lead to shape and scale our policy management platform. You will directly impact how insurers, distributors, and clients work with life insurance – transforming a traditionally complex, paper-heavy industry into one that feels modern, data-driven, and intelligent. We’re looking for people who are passionate about agent-assisted development, energized by solving hard problems with AI and automation, and motivated to help build an engineering culture where experimentation, ownership, and learning are primary values. Development is changing, and we are looking for people who simultaneously have high standards for work quality and the flexibility to propose and adapt new tools and processes as they go from novel to essential. If you want to be part of a high-performing team with room for outsized growth, deep ownership, and the chance to help set the standard for an AI-native insurance platform , this is the opportunity for you. In your first six months at Leopard, you will: Build and maintain multiple new AI-powered ETL pipelines Contribute to ideation and experimental design, improving our model evals for data extraction and structuring, and productionizing results Iterate on our overall development process, helping improve engineering velocity and latency with new tools Contribute to our company roadmap, developing ideas on new features and models, and help Leopard grow into the leading platform for life and annuities distribution

Requirements

• 5-7 years of professional data engineering experience
• Strong problem-solving skills, you make reasonable decisions independently
• Deep knowledge of Python and Typescript
• Spent significant time and effort over the last year experimenting with and building a LLM code generation and agentic tooling development process
• Ship high-quality work in a hybrid, fast-paced, B2B SaaS environment
• Owned projects end-to-end and delivered them by hitting key milestones
• Have great communication skills; you work well with others, and you own your work

Nice To Haves

• Experience in, or familiarity with, the life insurance industry
• Early-stage startup experience
• Professional working proficiency in Spanish

Responsibilities

• Build and maintain multiple new AI-powered ETL pipelines
• Contribute to ideation and experimental design, improving our model evals for data extraction and structuring, and productionizing results
• Iterate on our overall development process, helping improve engineering velocity and latency with new tools
• Contribute to our company roadmap, developing ideas on new features and models, and help Leopard grow into the leading platform for life and annuities distribution

Benefits

• health insurance coverage
• a 401K program
• paid holidays
• encouraged paid time off (PTO)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed