Bachelor's Degree plus five years of relevant experience, or Master's Degree plus three years of relevant experience.
Experience with CMS systems and/or Medicaid data.
Proficiency in cloud-based data analytics platforms, specifically Databricks.
Strong programming skills in Python, PySpark, and SQL.
Experience in building distributed data processing pipelines.
Familiarity with large healthcare datasets.
Solid understanding of ETL/ELT pipeline development.
Responsibilities
Design and implement scalable data pipelines for healthcare data.
Develop ETL/ELT workflows for CMS and Medicaid data integration.
Build and maintain data processing workflows using Databricks.
Create data transformation and analytics solutions with Python, PySpark, and SQL.
Ensure data quality and governance across systems.
Optimize performance of data pipelines and processing workloads.
Collaborate with analytics, engineering, and DevOps teams for data platform operations.
Benefits
Comprehensive benefits package.
Flexible work schedules.
Professional development opportunities.
Supportive work environment promoting work-life balance.
Full Job Description
Job Description
The Opportunity
The Data Engineer III will design, develop, and maintain scalable data pipelines and analytics workflows supporting CMS and Medicaid data processing. This role will leverage cloud-based data analytics platforms, specifically Databricks, to build reliable, efficient, and secure data solutions that support analytics, reporting, and operational needs. This position is with TSPI, a Division of Abt Global.
Core Responsibilities
Design and implement scalable data pipelines for ingesting, transforming, and processing healthcare data.
Develop ETL/ELT workflows supporting CMS and Medicaid data integration.
Build and maintain data processing workflows using Databricks and distributed computing technologies.
Develop data transformation and analytics solutions using Python, PySpark, and SQL.
Ensure data quality, consistency, and governance across systems.
Optimize performance of data pipelines and large-scale data processing workloads.
Collaborate with analytics, engineering, and DevOps teams to support data platform operations.
Maintain documentation for data architecture, data models, and pipeline processes.
Support compliance with healthcare data security and privacy requirements.
Required Qualifications
Bachelor's Degree plus five years of relevant experience, or Master's Degree plus three years of relevant experience.
Experience working with CMS systems and/or Medicaid data.
Experience with cloud-based data analytics platforms, specifically Databricks.
Strong programming experience in Python, PySpark, and SQL.
Experience building distributed data processing pipelines.
Experience working with large healthcare datasets.
Strong understanding of ETL/ELT pipeline development.
US work authorization required and the ability to obtain and maintain a Public Trust clearance, which may include fingerprinting.
Preferred Qualifications
Experience implementing data lake or lakehouse architectures.
Familiarity with healthcare interoperability standards.
What We Offer
We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life. The approach toward your wellbeing centers around comprehensive benefits, flexible schedules, and professional development.
This position offers an anticipated annual base salary range of approximately $95,000 to $120,000 and may vary by ten percent depending on candidate geographic location. Salary offers are made based on internal equity and market analysis.
