Real World Data Lead (Healthcare Claims)

Location: Hybrid, based out of the New York office; applicants must be authorized to work for any employer in the U.S.

Salary: $185,000–$195,000 annually, plus bonus eligibility.

Company

hirify.global develops AI Digital Twin technology for metabolic health, using data from CGMs, smartwatches, and meal logs to help improve and prevent chronic diseases such as type 2 diabetes and obesity.

What you will do

• Design and implement Twin’s Tuva-based claims data model in dbt and Snowflake, from the Tuva Input Layer through Tuva Core and reporting marts.
• Develop partner connectors for claims and eligibility data, define raw-to-modeled data contracts, and maintain data quality checks and reconciliations.
• Consolidate reporting marts onto a common data model while running legacy and new versions in parallel.
• Build a versioned, contract-enforced partner portal serving layer with pre-aggregated models, performance tuning, and freshness commitments.
• Enforce partner data isolation and PHI security using RBAC, row access policies, secure views, and masking.
• Manage metric consistency, Tuva upgrades, regression testing, CI/CD, documentation, and change communication.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 6+ years of experience in data or analytics engineering, including 3+ years working directly with healthcare claims data.
• Deep knowledge of medical and pharmacy claims and eligibility data, including adjudication, reversals, claim lag, and ICD-10, CPT/HCPCS, NDC, and NPI code sets.
• Extensive production dbt experience, including model contracts and versions, testing, and CI; hands-on Tuva Project experience is strongly preferred.
• Advanced SQL and Snowflake experience, including query performance tuning, RBAC, row access and masking policies, and warehouse cost management.
• Experience delivering stable, versioned data interfaces to applications or external customers.
• Ability to collaborate with data engineering, application engineering, and analytical teams on data contracts, metric definitions, and ownership boundaries.
• Interest in AI-assisted development and coding agents for connector development, testing, and documentation.
• Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable.

Nice to have

• Experience with payer data formats 837, 835, and 834.

Culture & Benefits

• Collaborative environment centered on improving members’ metabolic health.
• Remote and globally distributed team with flexibility.
• Equity participation opportunity and competitive technology-company compensation.
• Unlimited vacation with manager approval.
• Paid parental leave, including 16 weeks for delivering parents and 8 weeks for non-delivering parents.
• Employer-sponsored healthcare, dental, and vision coverage, HSA/FSA options, and a 401(k) plan.