Senior Data Integrity Engineer

Role overview

Join Pearl as a Senior Data Integrity Engineer. You’ll work on the complexities of dental insurance data and ensure high data quality so Pearl’s AI recommendations perform reliably and support dentists in focusing on patient care.

Key missions

• Analyze incoming vendor data to identify omissions, inaccuracies, and inconsistencies.
• Build automated data quality monitoring and alerting systems to catch issues before they reach customers.
• Own vendor data quality relationships, working directly with data providers to drive upstream fixes.

Responsibilities

• Create and run production-grade data integrity checks and monitoring.
• Investigate large datasets to find patterns in missing or incorrect data.
• Produce clear findings and lead conversations with data providers to remediate root causes.
• Apply a product mindset by connecting data quality to the user experience.

Requirements

• Senior-level engineering capability: build production systems (not just notebooks).
• Strong SQL skills, with hands-on work in PostgreSQL and Snowflake.
• Comfort owning vendor relationships, including calls with data providers and driving resolution.
• Product mindset: evaluate data quality by its impact on user experience and the product’s behavior.
• Self-directed problem solving: identify issues proactively, quantify them, and propose fixes.
• Node.js proficiency; TypeScript experience is a plus.
• Experience with agentic software development tools (e.g., Cursor, Claude Code) as part of daily workflow.

Nice-to-haves

• Healthcare or insurance domain knowledge (regulated, accuracy-critical data).

Benefits (high level)

• Healthcare coverage
• Unlimited vacation
• Ongoing learning opportunities