Data Engineer 3
At a glance
Mid-level Data Engineering role at Abt Global. Rockville · full-time · $95,000–$120,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build scalable pipelines that ingest, transform and process healthcare data for CMS and Medicaid work
- Create ETL/ELT workflows that connect CMS and Medicaid data, using Databricks and distributed computing
- Use Python, PySpark and SQL to prepare data for analytics, then improve pipeline performance
- Check data quality and governance, document architecture and workflows, and uphold healthcare privacy requirements
- Coordinate with analytics, engineering and DevOps colleagues to support data platform operations
What you bring
- A bachelor's degree with five years of relevant experience, or a master's degree with three years
- You have worked with CMS systems or Medicaid information and handled large healthcare datasets
- You have used Databricks and built pipelines for distributed data processing
- You bring strong Python, PySpark and SQL programming, plus ETL/ELT development experience
Who this fits
This role suits a mid-level data engineer working on healthcare data pipelines and analytics workflows. You must be authorized to work in the US and able to secure and keep a Public Trust clearance; fingerprinting may be part of that process.
From the employer
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.
TSPi, a Division of Abt Global is an Equal Opportunity employer committed to fostering an inclusive work environment. Abt provides market-competitive salaries and comprehensive employee benefits.
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.
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