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# Data Engineer (Senior Consultant)

- **Company:** Guidehouse Inc.
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $85,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Confluence, JIRA, Big Data, Cloud Computing, Collaborative Software, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Distributed Data Store, Python (Programming Language), Scrum Methodology, Software Engineering, SQL Databases, Git, Semi-structured Data, Git Flow, Information Technology, Software Version Control, Data Pipelines, Databricks
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=14fa2cd58a6375b1

## About the Role

Do you have experience in Version control systems?, Do you have a Bachelor's degree?, * U.S. Citizenship and ability to obtain a Public Trust clearance

 * Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
 * A minimum of FOUR (4) years of experience in data engineering, software engineering, or related technical roles
 * Proficiency in Python and SQL for data engineering and transformation workloads
 * Hands-on experience with Databricks and large-scale data processing environments
 * Experience developing and maintaining ETL/ELT data pipelines
 * Experience working with medallion/lakehouse architectures (bronze, silver, gold)
 * Experience working with relational and/or distributed data systems, including data modeling
 * Experience with CI/CD practices and tools (e.g., Git-based workflows)
 * Familiarity with version control and collaboration tools, including Git, Jira, and Confluence
 * Experience working in Agile development environments
 * Ability to work independently in a fast-paced environment
 * Strong analytical and troubleshooting skills
 * Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences

What Would Be Nice To Have:

 * Experience working with healthcare data, such as claims, eligibility, or clinical datasets
 * Experience supporting CMS, HHS, or other federal health programs
 * Experience working with state government data programs
 * Familiarity with data governance, privacy, and compliance frameworks (e.g., HIPAA)
 * Experience supporting data modernization or cloud migration initiatives

## Description

Guidehouse is seeking a Data Engineer (Senior Consultant) to support a Centers for Medicare & Medicaid Services (CMS) data modernization initiative. This role will focus on building and maintaining modern, scalable data pipelines and lakehouse architectures that enable secure, compliant, and high-performance processing of federal health data., * Design, develop, and maintain end-to-end ETL/ELT pipelines within Databricks-based environments

 * Implement and manage medallion (multi-layered lakehouse) data architectures (bronze, silver, gold)
 * Build scalable data pipelines to process large, complex datasets, including structured and semi-structured data
 * Collaborate with cross-functional teams (data scientists, analysts, SMEs, and CMS stakeholders) to translate business requirements into technical solutions
 * Ensure data quality, lineage, and governance through validation, monitoring, and documentation
 * Optimize performance and efficiency of data processing workflows in cloud-based environments
 * Support data integration and modernization efforts aligned with CMS EIPM objectives
 * Participate in Agile development practices, including sprint planning and backlog management


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