Data Engineer

United States·JacksonRemotemid

Data EngineerData

1 views0 saves0 applied

Apply Now

Quick Summary

Technical Tools

Data EngineerData

VetsEZ is seeking a Data Engineer for a remote opportunity supporting the implementation and operation of a statewide Health Information Exchange (HIE) and the development of a Health Data Utility (HDU). This role will build healthcare data pipelines while owning terminology mapping, validation, and data quality remediation. This opportunity is contingent upon contract award.

This is a remote position. The candidate must reside within the continental US.

Responsibilities

~1 min read

→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

~1 min read

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.

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.

U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.