Work From Anywhere in LATAM and the Philippines

Work Schedule: 9:00 AM – 6:00 PM PST (EasternTime)

An AI-powered recruiting platform is building the database layer behind its operational systems, reporting, and AI features, and is looking for a Database Engineer to design clean schemas, write efficient SQL, and make Postgres do more with less.

The company runs a production Postgres backend powering its applicant tracking system, fed by webhook-driven ingestion from external hiring tools via serverless workers and queues. As it scales, it is investing in the database foundation that will support reporting and AI consumers, and the role pairs closely with the Engineering team (which owns ingestion) and AI Engineering (which consumes datasets).

Day-to-day, the Database Engineer extends and evolves the Postgres schema across recruiting, candidates, and business operations, builds SQL views and derived tables that serve as the standard interface for reporting and AI, and optimizes query performance through indexing, partitioning, and execution-plan analysis. Success in the first 3–6 months means a completed schema audit with top-priority fixes shipped, measurable p95 gains on key dashboard queries, and column-level PII classification aligned to retention policy.

Requirements

Must-Have

• 3+ years working with production PostgreSQL databases
• Advanced SQL: window functions, CTEs, JSONB, EXPLAIN analysis, and query rewriting for performance
• Relational data modeling for both OLTP and analytical use cases, including materialized views, indexing, and partitioning on OLTP Postgres
• Defining and enforcing PII, data-classification, and retention policies at the database level
• Git-based schema-migration workflows (Flyway, sqitch, or comparable) with PR review
• Basic Python or comparable scripting for one-off data operations and validation
• B2+ English (CEFR) for technical documentation read across teams

Nice-to-Have

• Experience with Supabase (RLS, auth model, Realtime, Storage)
• Experience with dbt or SQLMesh for versioning SQL transformations
• Prior work exposing datasets to AI/ML consumers (feature datasets, embedding indexes, eval sets)

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They're looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we've hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we're building for:
Watch here: https://www.loom.com/share/863b8e426e6d48309aa8f4ea4c1c94cd

Benefits

• Competitive Salary: Based on experience and skills

• Remote Work: Fully remote—work from anywhere
• Generous PTO: In accordance with company policy
• Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees
• Direct Mentorship: Guidance from international industry experts
• Learning & Development: Ongoing access to resources for professional growth
• Global Networking: Connect with professionals worldwide

Our Recruitment Process

1. Application
2. Screening
3. Skills Assessment
4. Topgrading Interview
5. Client Interview
6. Job Offer
7. Client Onboarding

Ready to Join Us?

If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.