Job Requirements
Winchester, VA
Top Secret Polygraph not specified
Career Level not specified
$125,000 - $155,000
Job Description
Senior Data Engineer
Location: Winchester, VA
Clearance: Active Top Secret
Role Level: Senior
Work Environment: On-site / mission-focused federal environment
Pay Rate: $61-82/hr depending on experience/LCAT
Overview
We are seeking a Senior Data Engineer to support the design, development, and delivery of advanced visual analytics applications for a federal law enforcement mission. This role will focus on building data-driven solutions that transform structured and semi-structured information into actionable intelligence for operational users.
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.
Key Responsibilities
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
Required Qualifications
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
Preferred Qualifications
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
Location: Winchester, VA
Clearance: Active Top Secret
Role Level: Senior
Work Environment: On-site / mission-focused federal environment
Pay Rate: $61-82/hr depending on experience/LCAT
Overview
We are seeking a Senior Data Engineer to support the design, development, and delivery of advanced visual analytics applications for a federal law enforcement mission. This role will focus on building data-driven solutions that transform structured and semi-structured information into actionable intelligence for operational users.
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.
Key Responsibilities
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
Required Qualifications
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
Preferred Qualifications
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
group id: kforcecx
We offer roles across all three clearance levels: Confidential, Secret and Top Secret. With a Top Secret Facilities clearance, a proven subcontractor track record and a deep understanding of agencies across Defense, Intelligence, Homeland, Justice and Federal Civilian Sectors, Kforce brings more than 20 years of experience to supporting critical missions at federal, state and local levels.
