Data Engineer

VetsEZ is hiring a Data Engineer to support implementation and operation of a statewide Health Information Exchange and development of a Health Data Utility. The role builds healthcare data pipelines and manages terminology mapping, validation, and data quality remediation; the opportunity is contingent upon contract award.

Responsibilities:

• Build and maintain data ingestion, transformation, aggregation, and warehouse pipelines
• Map source clinical codes and local terminology to standard vocabularies and reference data
• Implement validation, reconciliation, and data quality monitoring within engineering workflows
• Investigate discrepancies and coordinate remediation with providers, clinical analysts, and integration teams
• Optimize pipeline performance, reliability, recoverability, and secure handling of sensitive health data
• Document lineage, terminology mappings, quality rules, and operational procedures for analytics-ready datasets
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project

Requirements:

• Bachelor's degree in computer science, data engineering, health informatics, information systems, or a related field
• 5+ years of relevant experience, with demonstrated experience across the responsibilities outlined above
• Experience building production data pipelines and healthcare or comparable regulated data solutions
• Strong SQL, data modeling, transformation, and pipeline troubleshooting skills
• Experience with clinical terminology mapping, reference data, and healthcare data validation
• Knowledge of standard vocabularies such as LOINC, SNOMED CT, ICD-10-CM, or RxNorm
• Ability to implement automated quality checks and resolve data discrepancies with clinical and technical stakeholders
• U.S. Citizenship is required
• Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position
• Experience with HIE data, EHR extracts, laboratory feeds, or FHIR resources
• Azure data services, Python, or comparable engineering tool experience
• Health informatics or health information management credential