Healthcare Data Engineering Consultant

Role: Senior Healthcare Data Engineering Consultant

Location: Remote

Duration: 6+ month

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 .

Key Responsibilities

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.

Required Qualifications

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.