Senior Data Engineer (Healthcare)

Location: Remote within the United States

Base salary: $180,000–$220,000 per year, plus equity and benefits.

Company

hirify.global is a healthcare intelligence company building AI-powered software that helps health plans pay claims accurately and improve financial outcomes.

What you will do

• Design, build, and operate reliable automated data pipelines for health plan data.
• Model complex healthcare data into canonical and analytical models.
• Migrate legacy processes, pipelines, and models to a common platform while preserving working logic and behavior.
• Extend and integrate tools and workflows for adoption by partner teams.
• Implement validation, automated testing, code review, CI/CD, deployment automation, and data quality practices.
• Document systems, review AI-generated work critically, and own pipelines from ingestion through operations and incident response.

Requirements

• 5+ years of data engineering experience, including production ownership of built pipelines.
• Strong SQL and Python skills.
• Strong canonical and dimensional data modeling skills, including conflicting sources, history, and adjustments.
• Production experience with dbt and workflow orchestration using Airflow or a similar tool.
• Expertise with Snowflake and/or Databricks, plus Spark SQL experience.
• Experience applying data validation, reconciliation, pull requests, automated tests, and deployment automation.
• Ability to solve broad, loosely defined problems end to end across ingestion, modeling, infrastructure, APIs, operations, incident response, and new data-source onboarding.
• Experience extending or integrating existing tools and building reusable systems for other teams.
• Ability to learn complex domains deeply, verify AI-generated code against ground truth, and use AI effectively while understanding its risks.

Nice to have

• Payment integrity experience, especially coordination of benefits and third-party liability, cost avoidance, Medicare Secondary Payer, post-pay audit, subrogation, overpayment recovery, or claims editing.
• Healthcare claims data experience, including 837/835, UB-04, eligibility, member and provider data, or DRG.
• Experience building AI skills, MCP tools, servers, agents, or plugins.
• Large-scale batch ingestion using SFTP, cloud storage, EDI X12, fixed-width, CSV, or Parquet, including schema-drift handling.
• GitHub Actions, infrastructure as code, and repeatable automated data operations.
• Scala, strong AWS, BI or semantic/cube modeling, Spark performance tuning, data contracts, schema governance, or HIPAA/PHI handling.

Culture & Benefits

• Digital-first work environment with work from anywhere in the US.
• Direct impact on healthcare claims payment outcomes, customer onboarding, and data integration.
• Collaboration with ML, Product, Analytics, Platform, Operations, and Customer teams.
• Full medical, dental, and vision coverage for employees and families.
• Unlimited FTO, flexible environment, competitive salary, equity, and 401(k) with employer match.