Remote Senior Backend Engineer for Data and Analytics Company
About the role
A seed-stage healthcare technology company is building the data infrastructure behind faster, clearer healthcare coverage decisions, and is looking for a Senior Backend Engineer to own and scale that infrastructure end-to-end. The team is small and moves fast, aggregating and normalizing over 100,000 medical policies from 100+ payers into structured, searchable intelligence using AI-driven systems. The founder is currently the sole engineer, so this hire acts as technical lead — reviewing code and setting architectural direction for a small group of part-time and offshore engineers, without managing people directly. Day-to-day, the role centers on building and scaling web scraper infrastructure, using LLMs to structure unstructured payer policy text, and standing up CI/CD and reliability improvements across the data pipeline. Success means the founder is no longer the bottleneck — the data infrastructure runs reliably and accurately and scales without constant direction.
What you'll do
Requirements
- 5+ years of backend software engineering experience, with at least 3 years in backend-focused (not generalist full-stack) roles
- 3+ years of professional Python as a primary backend language
- SQL proficiency with relational databases (PostgreSQL, MySQL, or SQL Server), including complex queries and schema design
- Hands-on AWS experience (Azure or GCP transferable) deploying and managing production services, plus CI/CD pipeline ownership
- Experience building and maintaining production data pipelines or ETL systems that ingest from inconsistent, messy, or unstructured external sources
- Demonstrated end-to-end system or architecture ownership at an early-stage startup or small engineering team (2–15 engineers)
- English at C1+ CEFR level for technical communication on video calls with the founder and engineering team
- Nice-to-Have
About Pearl Talent
Pearl Talent is a talent placement company that recruits remote workers, trains them to work effectively with AI tools, and places them as managed contractors with client companies — across roles ranging from client-facing positions to software engineers and executive assistants. The company is roughly 50 people managing a few hundred placed contractors, growing into new verticals, with clients spanning venture-backed tech and healthcare sectors. They emphasize community-building (events, culture) alongside the placement business itself.
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