
Advanced Healthcare Data Engineering Specialist
3 days ago
Job Description:
- Support the design, development and integration of AI-driven data pipelines for predictive analytics and risk stratification.
- Collaborate with cross-functional teams to ensure high-quality, compliant data solutions.
- Design and develop automated workflows for bots and AI Agents spanning legacy platforms.
- Perform data cleaning, rationalization and normalization to align with healthcare data standards and structures.
- 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.
- Maintain thorough documentation of data processes, transformations, and metadata.
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.
- Cloud-Based Solutions, APIs, Enterprise Integration Platforms.
- Excellent collaboration skills and ability to partner with AI/ML teams.
Benefits:
- Join a dynamic team that leverages AI-driven technology to make a positive impact.
- Work on complex AI projects that challenge and inspire.
- Partner with leadership who fosters a nimble, client-focused environment.
- Benefit from a profit-sharing model that reflects our commitment to respect and integrity for all employees.
Others:
- Must have excellent problem-solving skills and attention to detail.
- Should be able to work effectively in a fast-paced environment.
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