Senior Data Engineer

Guidehouse Inc.
McLean, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

McLean, United States of America

Tech stack

Microsoft Access
Artificial Intelligence
Airflow
Business Analytics Applications
Data analysis
Application Integration Architecture
Cloud Computing
Cloud Engineering
Information Engineering
Data Governance
Data Infrastructure
Data Sharing
Data Systems
PostgreSQL
SQL Databases
Enterprise Data Management
Amazon Web Services (AWS)
Databricks

Job description

The Senior Data Engineer will serve as the Department of State (DoS) Political-Military Affairs Bureau's lead technical architect for data infrastructure, analytics enablement, and AI integration in support of the Evidence Act and the Enterprise Data and AI Strategy (EDAIS). The role provides technical leadership to a data team and facilitates coordination with the Bureau Chief Data Officer (BCDO), the Center for Analytics (CfA), and the Bureau's Front Office management.

Requirements

  • Active Secret security clearance.
  • Bachelor's degree
  • EIGHT (8) or more years of experience in data engineering, analytics, or related IT fields, including at least one (1) year in a project-management role supporting a federal or enterprise-scale data initiative.
  • Experience in data standardization, database management (SQL, MS Access, PostgreSQL, or equivalent), and business-intelligence development.
  • Experience leading technical teams to deliver dashboards, visualizations, and analytic tools that inform strategic and operational decision-making.
  • Experience implementing cloud-based or hybrid data solutions within federal security and privacy frameworks.

What Would Be Nice To Have:

  • Experience working with federal data governance frameworks such as the Evidence Act, EDAIS, or related interagency data-sharing initiatives.
  • Professional certifications or formal training in data engineering, analytics, or cloud architecture (e.g., Microsoft Certified Data Engineer, AWS Data Analytics Specialty, or equivalent) are highly desirable.
  • Hands-on expertise with modern data-engineering toolchains (e.g., dbt, Apache Airflow, Databricks, or equivalent).
  • Background in designing or implementing AI/ML-enabled analytics solutions within secure or compliance-driven environments.

Benefits & conditions

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.

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