Innovation, Data & Analytics Team, Data Engineer (Healthcare AI)

Location: Hybrid, requiring onsite work 2–3 days per week at NYHQ, Collegeville, PA, Cambridge, MA, Groton, CT, a hirify.global site in Europe, or Montreal, QC. Candidates must have permanent authorization to work in the United States.

Annual base salary: $124,400–$207,400, plus a 17.5% bonus target and eligibility for a share-based long-term incentive program.

Company

hirify.global develops medicines and healthcare solutions, with this role supporting life sciences data, analytics, and AI initiatives.

What you will do

• Build and maintain production data pipelines based on governance and compliance standards.
• Operate and monitor data platforms including Databricks and Snowflake, responding to incidents and ensuring reliability.
• Implement canonical healthcare data models, including OMOP and HEDIS mappings where applicable.
• Provide clean, timely, well-structured data for analytics, AI/ML models, and agentic workflows.
• Partner with data analysts, data scientists, AI/ML engineers, governance, and engineering stakeholders to validate mappings and data needs.
• Identify data quality issues and improve pipeline performance, cost, maintainability, documentation, and audit readiness.

Requirements

• Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience with a master's degree or 6+ years with a bachelor's degree in data engineering, preferably in healthcare or pharmaceuticals.
• Strong SQL and Python skills.
• Experience with cloud data platforms such as Databricks, Snowflake, or similar technologies.
• Experience designing and orchestrating ETL/ELT pipelines and working with healthcare data such as claims, EHR, HEDIS, or OMOP.
• U.S. employment authorization by any employer and permanent U.S. work authorization are required; U.S. work visa sponsorship is not available.

Culture & Benefits

• Work in a regulated, fast-paced environment focused on patient safety, compliance, and transformational change.
• Collaborate across data science, governance, engineering, scientific, regulatory, and business functions.
• Benefits include a 401(k) plan with matching contributions, retirement savings contributions, paid vacation, holidays, personal days, caregiver and parental leave, and medical, prescription, dental, and vision coverage.
• Relocation assistance is not generally included for this role, though it may be available based on business needs or eligibility.