Guidehouse
Data Engineer (Senior Consultant)
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada19 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Data Engineer (Senior Consultant)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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
Details
- 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
- 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 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
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