Data Engineer (Senior Consultant)

Guidehouse Inc.
Washington, DC, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$85,000.0 - $141,000.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Confluence JIRA Big Data Cloud Computing Collaborative Software Information Systems Continuous Integration Data Architecture Information Engineering Data Governance Data Integration
+14 more
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

Job 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

Requirements

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

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Tuition reimbursement
  • Parental leave
  • 401(k)
  • Health insurance
  • Vision insurance
  • Health savings account, The annual salary range for this position is $85,000.00-$141,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all