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# Healthcare Data Engineering Consultant

- **Company:** RESOURCEFUL ENVIRONMENTAL SERVICES, INC.
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $75,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Clinical Data Repository, Information Systems, Data Architecture, Information Engineering, Data Integration, Data Integrity, Python (Programming Language), SQL Databases, Data Logging, Azure Data Factory, Fast Healthcare Interoperability Resources, Apache Spark, Microsoft Fabric, Pyspark, Information Technology, Health Level Seven International, Data Pipelines
- **Published:** August 23, 2026
- **Apply:** https://www.careerjet.com/jobad/uscd670be2529a427f4f9065816dda7ebb

## About the Role

Three or more years of relevant experience in data engineering, healthcare-data integration, or analytics-platform development.
Strong hands-on experience with Microsoft Fabric, Python, and SQL.
Demonstrated experience working with Epic data or Epic reporting and integration environments.
Working knowledge of healthcare-data de-identification concepts and secure handling of protected health information.
Experience building production-quality data pipelines with appropriate testing, monitoring, documentation, and support practices.
Strong analytical, problem-solving, and troubleshooting skills.
Clear technical-writing and stakeholder-communication abilities.
Ability to manage multiple priorities and work independently in a collaborative, deadline-driven environment.
Preferred Qualifications
Experience with Azure data services, Spark or PySpark, and lakehouse or Delta data architectures.
Familiarity with clinical data formats and interfaces, including HL7, CDA/CCDA, or FHIR.
Experience processing clinical free text or working with clinical NLP and de- identification tools.
Bachelor's degree in computer science, data engineering, information systems, or a related field.

## Description

Our client is seeking a senior, hands-on Healthcare Data Engineering Consultant to design, build, and operationalize secure clinical-data de-identification workflows. This consultant will work with Epic-sourced healthcare data and collaborate closely with clinical, privacy, security, vendor, business, and technical stakeholders. The role is responsible for delivering dependable, secure, and well-documented data pipelines.
The ideal candidate brings practical expertise in Microsoft Fabric, Python, SQL, Epic data, and healthcare-data de-identification., Design, develop, test, deploy, and support end-to-end data pipelines in Microsoft Fabric using Python and SQL.
Work with Epic-sourced clinical data, including structured records, flowsheets, and clinical notes.
Implement approved de-identification controls, including:
o Identifier transformation
o Patient-consistent pseudonymization
o Date shifting
o Age-related controls
o Secure handling of clinical free text
Translate approved transformation requirements into reproducible, version- controlled workflows with effective exception handling.
Develop validation checks for:
o Data completeness of Referential integrity of Patient linkage
o Date-shift consistency
o Schema changes
o Processing exceptions
o Release readiness
Build monitoring, error-handling, audit-logging, and operational-support processes.
Profile source data, identify privacy and data-quality risks, and recommend practical remediation approaches.
Produce architecture diagrams, implementation documentation, validation results, and production-support runbooks.
Troubleshoot complex pipeline and data-quality issues.
Communicate risks, dependencies, progress, and timelines clearly to technical and nontechnical stakeholders.
Represent the data-engineering workstream in discussions with clinical, privacy, security, vendor, and business teams.


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