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3 days ago
We are seeking a skilled professional to join our team as a Healthcare Data Engineer. The successful candidate will be responsible for designing, developing, testing, and integrating data solutions to support automated workflows, bots and AI Agents that span legacy platforms.
The ideal candidate will have strong experience in healthcare data engineering, proficiency in data cleaning, normalization, aggregation, and feature extraction, as well as knowledge of healthcare standards and coding systems.
Responsibilities:- Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
- Conduct data rationalization and normalization to align with healthcare data standards and structures.
- Aggregate and consolidate datasets from multiple systems.
- Execute data extraction workflows to generate AI-ready features.
- Conduct data quality assurance and validation checks to ensure reliability and accuracy.
- Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
- Implement automation and scripting for efficient data handling.
- Maintain thorough documentation of data processes, transformations, and metadata.
- Ensure compliance with HIPAA, data governance, and security standards.
- Strong experience in healthcare data engineering.
- Proficiency in data cleaning, normalization, aggregation, and feature extraction.
- Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
- Proficiency with SQL, Python, and automation frameworks for data workflows.
- Hands-on experience integrating data from multiple healthcare systems and vendors.
We offer a dynamic work environment with excellent collaboration skills and the ability to partner with AI/ML teams. Strong understanding of data governance, HIPAA compliance, and audit documentation is required.
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