Data Engineer - Clearance Required
$101,144–$174,591 year
RemoteUnited States
Job Summary
Design, build, and maintain reliable data pipelines for ingestion, transformation, and storage of structured and unstructured data from mission and enterprise sources. Convert historical and operational data into standardized, machine-learning-ready formats for predictive analytics, natural language processing, and large language model applications. Develop and automate batch and real-time ETL/ELT workflows, data integrations, APIs, and orchestration processes while optimizing relational, non-relational, and lakehouse architectures for performance and scalability. Implement data profiling, validation, schema management, and metadata lineage to ensure data accuracy and auditability. Collaborate with data scientists, AI/ML engineers, and mission stakeholders to provide clean datasets for model training and product sustainment. Apply access controls, encryption, and logging to protect sensitive government data throughout its lifecycle. Monitor pipelines, troubleshoot integration issues, and maintain technical documentation for sustainment and transition. Requires an active Secret clearance with Top-Secret eligibility.
Required Qualifications
- Bachelor's degree in computer science, data engineering, software engineering, information systems, mathematics, engineering, or a related technical field.
- Five or more years of professional experience designing, developing, deploying, and sustaining data pipelines, data platforms, databases, or enterprise data integrations.
- Demonstrated experience building production ETL/ELT pipelines and automated workflows using modern data integration, orchestration, version-control, testing, and continuous-integration practices.
- Advanced proficiency with Python and SQL, including data transformation, query optimization, scripting, automation, and integration with application or analytical services.
- Strong knowledge of data modeling and database architecture across relational, non-relational, object storage, data warehouse, data lake, or lakehouse technologies.
- Experience implementing data quality, schema management, metadata, lineage, observability, reconciliation, and repeatable error-handling processes for complex multi-source datasets.
- Knowledge of secure data engineering practices, including identity and access management, encryption, logging, auditing, least privilege, and protection of sensitive information.
- Experience producing clear technical documentation, architecture diagrams, interface specifications, operational procedures, and knowledge-transfer materials.
- Ability to work independently in a fast-paced, mission-focused environment while collaborating effectively with data science, AI/ML, software, cybersecurity, governance, and operational teams.
- Active SECRET security clearance.
- Applicants must meet eligibility requirements for a U.S. Government security clearance.
- Only US Citizens are eligible for a security clearance.
Desired Qualifications
- Master's degree in computer science, data engineering, software engineering, information systems, engineering, or a related technical field.
- Experience supporting SOCOM, the Department of War, another military headquarters, or a comparable national security mission partner.
- Experience with secure government cloud environments such as AWS GovCloud or Azure Government and with containerized, infrastructure-as-code, or DevSecOps delivery practices.
- Experience with distributed processing, workflow orchestration, streaming, API integration, data catalog, or enterprise data governance technologies.
- Experience engineering data for predictive analytics, natural language processing, generative AI, retrieval-augmented generation, vector search, or large language model applications.
- Familiarity with MLOps, model feature pipelines, production application support, automated monitoring, and the transition and sustainment of operational data products.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.