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Abt Global

Data Engineer 3

Abt Global Rockville, Maryland, United States

Business Consulting and Services · 1 employee

5 h ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

Design, develop, and optimize scalable data pipelines and ETL/ELT workflows for CMS and Medicaid healthcare data using Databricks, Python, PySpark, and SQL. Maintain data quality, governance, documentation, and secure platform operations while collaborating with analytics, engineering, and DevOps teams.

What they look for

Data Pipeline Development ETL/ELT Databricks Python PySpark SQL Distributed Computing Healthcare Data Processing CMS Data Medicaid Data Data Quality Data Governance Data Pipeline Optimization Data Lake and Lakehouse Architectures Healthcare Interoperability Standards

Requirements

Requires experience with CMS systems or Medicaid data, Databricks, Python, PySpark, SQL, distributed data pipelines, large healthcare datasets, and ETL/ELT development. Candidates must be authorized to work in the United States and able to obtain and maintain a Public Trust clearance; data lake or lakehouse experience and healthcare interoperability familiarity are preferred.

Full description

Position Summary

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.

Key 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

  • 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.

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