Healthcare Data Engineering Consultant

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.

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.

• $75,000-120,000 per year For more than 70 years, Walser Automotive Group has put people first: our customers, our employees, and our communities. As a family-owned, family-run company, we’ve grown to 29 de…

• 3 days ago + *