> Markdown version of [/jobs/ext/3736141-data-engineer](https://www.wearedevelopers.com/jobs/ext/3736141-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Guidehouse Inc. - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $113,000.0 - $188,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Stores, Data Systems, Digital Assets, Knowledge Management, Meta-Data Management, Data Streaming, Systems Integration, Enterprise Data Management, Information Technology, Data Analytics, Enterprise Integration, Stream Processing, Data Pipelines - **Published:** October 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9237801/data-engineer ## About the Role * Must be able 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 in 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. 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. ## Description * Design, build, and maintain scalable data ingestion pipelines, data integration frameworks, and lineage-driven processing solutions that support entity resolution, provenance tracking, data reconciliation, source routing, data sanitization, governance, continuity, recovery, and the reliable delivery of trusted data assets across the enterprise. * Develop and manage data models, schemas, and datasets while ensuring 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 opportunities for automation and optimization, and improve the reliability, scalability, and efficiency of data solutions. * Produce technical documentation, data standards, and implementation guidance that support system operations, modernization efforts, and continuous improvement.