Senior Data Engineer (Healthcare, Integration)

CTG is seeking to fill a Senior Data Engineer - Integration opening for our client. Location: Remote Duration: 2 years NO C2C/1099 or H1B please. W2 Salaried only. Duties: • Design and maintain scalable data ingestion pipelines for healthcare data in AWS • Architect reusable frameworks for ML, GenAI, data lakes, and analytics • Build and automate ML pipelines for model training, deployment, and monitoring • Ensure data security, accuracy, and governance across ingestion pipelines • Develop infrastructure for deploying and scaling ML and GenAI applications • Collaborate with data scientists and stakeholders to align pipelines with business needs • Optimize AWS infrastructure and data workflows for performance and reliability • Document best practices for data ingestion and ML pipeline development Skills: • Strong expertise with AWS Glue, Lambda, S3, Redshift, and Python/Spark • Deep understanding of data lakes, warehouses, and ML Ops pipelines • Knowledge of healthcare data privacy, compliance, and governance • Strong problem-solving, optimization, and automation skills • Proficiency in Agile methodology and sprint-driven collaboration Experience: • 7+ years in data engineering with AWS and data ingestion pipelines • Proven track record of building large-scale data solutions and ML/AI-ready infrastructure Education: • Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred) Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.