DATA ENGINEER

BeyondSOF; Washington (District of Columbia); On-site; USD 140,000 - 190,000; Full time

Job summary

BeyondSOF is seeking a senior data engineer to design, build, and operate scalable data pipelines and governance frameworks across the enterprise. You will develop data models, support batch and real-time processing, ensure data quality, provenance, and lifecycle management, and collaborate with engineering and analytics teams to deliver trusted data assets.

Applicants must be U.S. citizens with TS clearance eligibility and at least 6 years of relevant experience, including strong communication

Qualifications

• 6+ years of relevant experience.
• U.S. Citizen.
• Must obtain and maintain a TS security clearance.
• Experience designing and maintaining data pipelines, databases, and enterprise data platforms.
• Experience with data engineering, DB management, ETL/ELT, and system integration.
• Ability to manage priorities in multidisciplinary environments.
• Strong written and verbal communication skills.
• Bachelor's degree in CS, Data Eng, IS, Eng, Math, DS, Finance, Economics, or related field.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines and data integration frameworks.
• Develop data models, schemas, and datasets with quality and provenance.
• Implement batch and real-time processing and monitor data flows.
• Build databases, data stores, APIs, and supporting infrastructure.
• Implement governance, access controls, retention, and security measures.
• Collaborate with engineering, analytics, and ops teams to integrate sources.
• Monitor data performance, seek automation, and improve reliability.
• Produce documentation and data standards for operations and modernization.

Skills

Data pipelines

ETL/ELT

Data modeling

Data governance

Security clearance

Communication

Education

Bachelor's degree in a related field

Job description

What You Will Do

• 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.

What You Will Need

• SIX (6)+ years of relevant experience.
• Must be a U.S. Citizen.
• Must be able to OBTAIN and MAINTAIN a Federal or DoD "TOP SECRET" security clearance.
• Demonstrated 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.
• Ability to work in complex, multidisciplinary environments and manage competing priorities.
• Strong written and verbal communication skills.
• Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, Data Science, Finance, Economics, or a related field.

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.