Data Engineer
Listed on 2026-07-29
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager
Responsibilities
Kforce has a client that is seeking a Data Engineer in Winchester, VA.
Summary:
Are you passionate about transforming complex data into actionable insights? We're seeking a Data Engineer to support the development of advanced analytics and visualization solutions that help users explore, analyze, and understand large-scale datasets. This is an exciting opportunity to work with cutting-edge technologies, high-performance computing environments, and data-driven applications supporting critical missions.
- Data Engineer will design, develop, and support advanced data analytics solutions for desktop and web-based applications
- Build and optimize data pipelines that process structured and semi-structured data from multiple sources
- Develop data integration, transformation, and analytics capabilities to support visualization and decision-making platforms
- Leverage advanced graphics, visualization tools, and high-performance computing technologies to enable large-scale relational data analysis
- As a Data Engineer, you will work with open-source, commercial off-the-shelf (COTS), and government off-the-shelf (GOTS) technologies to deliver innovative solutions
- Collaborate with cross-functional teams to transform data into meaningful, actionable intelligence
- Ensure data quality, integrity, scalability, and performance across analytics environments
- Support the continuous enhancement of data platforms and analytic capabilities
Kforce has a client that is seeking a Data Engineer in Winchester, VA.
Summary:
Are you passionate about transforming complex data into actionable insights? We're seeking a Data Engineer to support the development of advanced analytics and visualization solutions that help users explore, analyze, and understand large-scale datasets. This is an exciting opportunity to work with cutting-edge technologies, high-performance computing environments, and data-driven applications supporting critical missions.
- Data Engineer will design, develop, and support advanced data analytics solutions for desktop and web-based applications
- Build and optimize data pipelines that process structured and semi-structured data from multiple sources
- Develop data integration, transformation, and analytics capabilities to support visualization and decision-making platforms
- Leverage advanced graphics, visualization tools, and high-performance computing technologies to enable large-scale relational data analysis
- As a Data Engineer, you will work with open-source, commercial off-the-shelf (COTS), and government off-the-shelf (GOTS) technologies to deliver innovative solutions
- Collaborate with cross-functional teams to transform data into meaningful, actionable intelligence
- Ensure data quality, integrity, scalability, and performance across analytics environments
- Support the continuous enhancement of data platforms and analytic capabilities
- Experience designing and developing data engineering or analytics solutions
- Experience working with structured and semi-structured datasets
- Knowledge of data warehousing, data transformation, and large-scale data processing
- Familiarity with data visualization and analytics platforms
- Understanding of modern data engineering best practices and technologies
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to communicate complex technical concepts to diverse stakeholders
- Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note:
Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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