Data Engineer (Senior Consultant)

Guidehouse seeks a Data Engineer (Senior Consultant) in Washington, DC (onsite) with a salary range of USD 85,000 - 141,000 per year to support CMS data modernization through scalable pipelines and lakehouse architectures for secure federal health data processing.

Responsibilities

• 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

Requirements

• 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

Technologies

• Databricks
• Python
• SQL
• Git
• Jira
• Confluence

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

Job Family

• Data Engineering & Architecture Consulting

Travel Required

• Up to 10%

Clearance Required

• Ability to Obtain Public Trust

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