
Healthcare Data Engineer – AI/ML Enablement Expert
4 days ago
The Role
We are seeking an experienced Healthcare Data Engineer to support the development and implementation of advanced data solutions for AI/ML initiatives. This involves cleaning, rationalizing, and integrating large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.
The ideal candidate will collaborate with data scientists, engineers, and AI teams to design, develop, test, and integrate data solutions to support automated workflows, bots, and AI Agents that span legacy platforms, such as:
- Claims processing systems
- Member management platforms
- Provider network management systems
- Care management platforms
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 (ICD-10, CPT, SNOMED).
- Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
- 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.
Requirements
- Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
- 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.
- Knowledge of cloud-based solutions, APIs, and specialized payer platforms.
- Excellent collaboration skills and ability to partner with AI/ML teams.
- Strong understanding of data governance, HIPAA compliance, and audit documentation.
Benefits
This is an opportunity to be part of a dynamic team that leverages AI-driven technology to make a positive impact. Our leadership fosters a nimble, client-focused environment, minimizing bureaucracy to enhance delivery and professional growth.
Additionally, we benefit from our profit-sharing model, reflecting our commitment to respect and integrity for all employees.
Why Work with Us
As a Healthcare Data Engineer, you will have the chance to work on complex AI projects that challenge and inspire, meeting high client expectations. You will also be able to contribute to the development of innovative AI-driven capabilities to augment and automate client workflows.
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