Data Engineer

DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2.

• Design, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions using AWS platform and software services.
• Develop and administer data ingestion, ETL, integration, transformation, validation, publication, and lifecycle-management workflows.
• Integrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.
• Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.
• Develop solutions using AWS services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, AWS Glue Data Catalog, Amazon RDS, Amazon Aurora, and Amazon DynamoDB.
• Create REST APIs and web services to expose data to JWAC-developed applications and analytical systems.
• Support AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, retrieval-augmented generation (RAG), and LLM integration and optimization.
• Develop automation, monitoring, alerting, and self-healing capabilities using AWS-native tools such as Amazon CloudWatch and AWS CloudTrail.
• Implement data discovery and search capabilities using services such as Amazon OpenSearch Service, AWS Glue Data Catalog, and Amazon Kendra.
• Apply FinOps practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per-workload analysis, and AI/LLM cost tracking.
• Implement DoD Zero Trust and NIST SP 800-53 Rev. 5 security controls across data engineering and AI service environments.
• Configure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.
• Support security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.
• Gather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, costs, risks, and implementation decisions.
• Develop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.
• Collaborate with Government stakeholders, data scientists, analysts, cybersecurity personnel, cloud engineers, and other technical teams.

• Bachelor of Science degree in computer science, computer engineering, data engineering, data science, or a related technical discipline.
• At least three years of full-time experience in computer science, data engineering, or data science, including hands-on software development lifecycle experience.
• Recent experience designing or implementing data engineering solutions or cloud-native systems on AWS.
• At least one year of experience with cloud-native data warehouse or analytics platforms, such as Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, or AWS Lake Formation.
• At least one year of experience supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight.
• Experience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction.
• At least one year of experience implementing cloud-native data security controls, including IAM, encryption, and network segmentation.
• Ability to meet DoD 8140.03 requirements for the applicable work roles, including Primary Work Role 422 – Data Architect (Intermediate).
• Ability to obtain and maintain the required TS/SCI/SAP access.
• Ability to work onsite in Dahlgren, Virginia, during established core hours and support scheduled maintenance activities as required.

• This position is expected to work onsite at JWAC in Dahlgren, Virginia, supporting a TS/SCI/SAP environment.