Data Engineer

Guidehouse Inc.; Washington (District of Columbia); On-site; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Tuition Reimbursement

Mobility Stipend

Life Insurance

Employee Referral Program

Discretionary Bonus

Job summary

Guidehouse Inc. seeks an onsite Data Engineer in Washington, DC to design and deliver scalable, trusted enterprise data capabilities.

You will design, build, and maintain data ingestion pipelines, data integration frameworks, and lineage-driven processing solutions to support enterprise analytics. Responsibilities include enabling entity resolution, provenance tracking, data governance, and recovery procedures, developing data models and datasets with a focus on quality, and implementing both

Qualifications

• Bachelor’s degree in a related field is required.
• 8+ years of experience designing, deploying, and maintaining data pipelines or enterprise data platforms.
• Ability to obtain Top Secret security clearance (TS) is required.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines, data integration frameworks, and lineage-driven processing solutions.
• Enable entity resolution, provenance tracking, data reconciliation, source routing, and data sanitization.
• Support data governance, continuity, and recovery to deliver trusted data assets across the enterprise.
• Develop and manage data models, schemas, and datasets with a focus on data quality and provenance.
• Implement batch and real-time data processing capabilities.
• Monitor data flows and support recovery, reconciliation, and continuity procedures across platforms.
• Create databases, data stores, APIs, and infrastructure for reliable access to data assets.
• Implement access controls, retention policies, and security measures to protect sensitive information and support compliance.
• Collaborate with engineering, analytics, and operations teams to integrate data sources and resolve issues.
• Monitor data performance and identify opportunities for automation and optimization.

Skills

Data pipelines

ETL/ELT

Data modeling

System integration

Data governance

Security clearance

Education

Bachelor's degree

Job description

Guidehouse Inc. is hiring an onsite Data Engineer in Washington, DC to design and deliver scalable, trusted enterprise data capabilities.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines, data integration frameworks, and lineage-driven processing solutions
• Enable entity resolution, provenance tracking, data reconciliation, source routing, and data sanitization
• Support data governance, continuity, and recovery to reliably deliver trusted data assets across the enterprise
• Develop and manage data models, schemas, and datasets with a 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 for 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 and resolve data issues
• Monitor data performance and identify opportunities for automation and optimization to improve reliability, scalability, and efficiency
• Create technical documentation, data standards, and implementation guidance to support operations, modernization, and continuous improvement

Requirements

• Ability to obtain and maintain a Federal or DoD TOP SECRET security clearance (Clearance Required: Ability to Obtain Top Secret (TS))
• Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Data Science, Finance, Economics, or a related field
• 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

Travel Required

• Up to 10%

Benefits

• 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

What Would Be 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

Compensation: USD 113,000 - 188,000 per yearly

Location: Washington, DC (onsite)