Data Engineer

Guidehouse Inc. is seeking an experienced Data Engineer to design, build, and operate scalable data ingestion, integration, processing, and governance capabilities. The role focuses on delivering trusted data assets across the enterprise through reliable batch and real-time processing, secure access, and strong data lineage, provenance, recovery, and continuity practices. This position is based in Washington, DC (onsite).

Salary range: USD 113,000 - 188,000 per year.

What you can expect (responsibilities)

• Design, build, and maintain scalable data ingestion pipelines, data integration frameworks, and lineage-driven processing solutions for entity resolution, provenance tracking, data reconciliation, source routing, data sanitization, governance, continuity, recovery, and trusted data delivery.
• Develop and manage data models, schemas, and datasets with focus on data quality, consistency, lineage, provenance, and lifecycle management.
• Implement batch and real-time data processing capabilities, monitor data flows, and support recovery, reconciliation, and continuity procedures across platforms.
• Build and maintain databases, data stores, APIs, and supporting infrastructure to enable reliable access to trusted data assets.
• Implement data governance, access controls, retention policies, and security measures to protect sensitive information and support compliance requirements.
• Collaborate with engineering, analytics, and operational teams to integrate data sources, resolve data issues, and support evolving business and mission needs.
• Monitor data performance, identify automation and optimization opportunities, and improve reliability, scalability, and efficiency.
• Create technical documentation, data standards, and implementation guidance to support operations, modernization, and continuous improvement.

What you bring (requirements)

• Ability to obtain and maintain a Federal or DoD TOP SECRET security clearance.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Data Science, Finance, Economics, or a related field.
• EIGHT (8)+ years of relevant experience designing, developing, deploying, and maintaining data pipelines, databases, integration solutions, or enterprise data platforms.
• Experience with data engineering, database management, ETL/ELT processes, data modeling, system integration, and modern development practices.

Benefits and support

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Discretionary variable incentive bonus eligibility (position may be eligible)
• 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

Travel and clearance

• Travel required: Up to 10%
• Clearance required: Ability to Obtain Top Secret (TS)

Nice to have

• Master’s degree in a related discipline.
• Experience in intelligence, national security, defense, technology, finance, or private-sector mission environments.
• Experience supporting data governance, data quality, metadata management, lineage, provenance, or records management initiatives.
• Experience developing data architectures, technical products, operational frameworks, or enterprise data solutions.
• Experience working across organizations and integrating diverse stakeholder requirements.
• Familiarity with data analytics, AI/ML, knowledge management, graph analytics, or operational planning.
• Experience supporting executive decision-making, reporting, or governance processes through data-driven solutions.
• Demonstrated ability to improve data processes, methodologies, platform performance, and mission outcomes.
• Ability to work in complex, multidisciplinary environments and manage competing priorities.
• Strong written and verbal communication skills.