Healthcare Data Engineer
Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE
•Remote
About The Position
CTG is seeking a highly skilled Healthcare Data Engineer to support enterprise healthcare data initiatives. This role will focus on designing and building scalable cloud-based data pipelines, integrating large healthcare datasets, and enabling advanced analytics using modern data engineering technologies. The ideal candidate will have strong experience with cloud platforms, big data processing frameworks, and healthcare data environments.
Requirements
- Strong experience with AWS and/or Google Cloud Platform (GCP).
- Advanced ETL/ELT development expertise.
- Hands-on experience with Teradata and Snowflake.
- Strong programming skills in Python, PySpark, and Scala.
- Unix/Linux administration and scripting experience.
- Experience working with Kubernetes and containerized environments.
- Understanding of healthcare data ecosystems and industry regulations.
- Strong analytical, problem-solving, and communication skills.
Nice To Haves
- 7+ years of Data Engineering experience.
- Experience supporting healthcare organizations, payers, providers, or health technology companies.
- Familiarity with claims, clinical, member, provider, or population health data.
- Experience building large-scale cloud data platforms and distributed data processing solutions.
- Knowledge of HIPAA compliance and healthcare data governance practices.
- Advanced degree and relevant cloud certifications are a plus.
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Responsibilities
- Design, develop, and optimize enterprise-scale ETL/ELT pipelines.
- Build and maintain cloud-native data solutions using AWS and/or GCP.
- Develop data processing applications using Python, PySpark, and Scala.
- Integrate and transform data across Teradata, Snowflake, and other enterprise systems.
- Implement scalable data architectures supporting healthcare analytics and reporting.
- Deploy and manage containerized data workloads using Kubernetes.
- Ensure data quality, governance, security, and compliance with healthcare regulations.
- Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.
- Troubleshoot and optimize performance of large-scale data platforms.
Benefits
- competitive benefit package
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Senior
