Healthcare IT & AI/ML Integration Data Engineer

DescriptionWe are seeking an experienced Healthcare IT & AI/ML Data Engineer to join our team in modernizing data collection, aggregation, and analysis for the Centers for Medicare and Medicaid Services (CMS). As an IT integrator contractor supporting application development teams and business owners, we aim to enhance data transformation functionality while leveraging AI/ML-driven solutions for intelligent data modernization.This role requires a deep understanding of data engineering, AI/ML integration, cloud-based data solutions, and compliance with federal healthcare regulations. The ideal candidate will assess current implementations, identify areas for optimization, and propose strategic improvements that align with modern data engineering best practices and CMS objectives.Key Responsibilities:Assessment & Strategy:Evaluate existing data pipelines, architectures, and transformation processes.Provide recommendations for optimizing and modernizing data systems to enhance efficiency, scalability, and cost-effectiveness.Define a data modernization strategy that incorporates AI/ML-driven automation and analytics.Data Engineering & Transformation:Design and implement scalable, cloud-native ETL/ELT pipelines to support real-time and batch data processing.Build and maintain data warehouses and data lakes for high-performance analytics and reporting.Improve data quality, lineage, and governance with automated validation and monitoring.Implement data versioning and reproducibility for better traceability.AI/ML Integration for Data Modernization:Develop and integrate AI/ML solutions to enhance data ingestion, transformation, and analytics capabilities.Work with ML frameworks (TensorFlow, PyTorch, MLflow) to enable automated decision-making and anomaly detection.Collaborate with Data Scientists to operationalize machine learning models and optimize predictive analytics.Utilize NLP and deep learning to improve healthcare data processing and extraction.Cloud &amp