Data Engineer

Develop and support advanced data analytics capabilities for desktop and web-based visual analytic applications Engineer data solutions that transform structured and semi-structured data streams into usable, actionable intelligence Support the bulk analysis of relational information using visualization tools, advanced graphics, and high-performance computing techniques Build, maintain, and optimize data pipelines to ingest, process, and prepare data for analytical use Design and implement data models, database structures, and analytical workflows to support operational reporting and intelligence analysis Integrate data from multiple sources into scalable analytics environments Develop backend data services and processing logic to support visual analytic software platforms Support the use of open-source, commercial, and government-developed technologies within the data environment Design strategies for enterprise database systems, including standards for operations, programming, performance, and security Construct and maintain large relational databases supporting mission and analytic workloads Refine database and application performance to improve speed, reliability, and functionality Integrate new systems and data sources with existing warehouse and analytics structures Collaborate with software developers, analysts, engineers, and mission stakeholders to translate data needs into technical solutions Troubleshoot data issues, pipeline failures, database performance concerns, and integration challenges Maintain documentation for data pipelines, data models, workflows, and technical processes

The ideal candidate has strong hands-on experience with data engineering, data analytics, relational data analysis, visualization technologies, and large-scale data processing. This position will support the full data lifecycle, including ingestion, transformation, storage, analytics, visualization, and performance optimization., Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related technical field Senior-level experience in data engineering, data analytics, database development, or related technical disciplines Strong experience designing, developing, and supporting data pipelines Experience working with structured and semi-structured datasets Strong knowledge of relational databases and enterprise data warehouse concepts Experience developing and optimizing SQL queries, database objects, and data transformation processes Experience supporting visual analytics, dashboards, reporting platforms, or related analytic applications Ability to support data integration across multiple systems and sources Strong understanding of data modeling, data quality, and database performance optimization Ability to work with technical and mission stakeholders to define requirements and deliver usable data solutions Strong analytical, troubleshooting, and communication skills, Experience supporting federal law enforcement, national security, intelligence, or defense programs Experience with high-performance computing or large-scale data processing environments Experience developing analytics for web-based or desktop visual analytic software Experience with open-source, COTS, or GOTS technologies Experience with data warehouse modernization or integration efforts Experience supporting mission systems that produce operational or investigative intelligence Familiarity with cloud-based data platforms, distributed processing, or scalable analytics architectures Experience with data visualization tools or advanced graphical analytics capabilities

Desired Technical Skills SQL Python ETL / ELT Data Pipelines Data Warehousing Relational Databases Data Modeling Data Transformation Data Visualization Structured and Semi-Structured Data High-Performance Computing Web-Based Analytics Applications Desktop Analytics Applications Open-Source / COTS / GOTS Technologies Performance Tuning Database Security Data Integration

What Makes a Strong Candidate Strong data engineering foundation with the ability to move from raw data to actionable intelligence Comfortable supporting large, complex data environments with multiple source systems Able to balance backend data engineering with user-facing analytics needs Strong problem solver who can troubleshoot pipelines, databases, and integration issues Mission-focused mindset with the ability to support sensitive federal operations Clear communicator who can work across engineering, mission, and analyst teams Detail-oriented approach to data quality, system performance, and operational reliability