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Data Engineer (Senior Consultant)

Role overview

Qualifications

  • 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

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

About the company

Guidehouse logo

Guidehouse

Professional Services

Guidehouse is a global consultancy providing advisory, digital, and managed services to the commercial and public sectors. Guidehouse is purpose-built to serve the national security, financial services, healthcare, energy, and infrastructure industries. Disrupting legacy consulting delivery models with its agility, capabilities, and scale, the firm delivers technology-enabled and focused solutions that position clients for innovation, resilience, and growth. With high-quality standards and a relentless pursuit of client success, Guidehouse’s more than 17,000 employees collaborate with leaders to outwit complexity and achieve transformational changes that meaningfully shape the future.

Company details

Company typeLarge
IndustryProfessional Services
Company size10001

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Job description

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

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.

Key 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

What You Will Need:

  • 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

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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