Data Engineer
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Data Engineer
110,000–165,000 / Year
Location
7500 Geoint Dr-EA • 2700 Prosperity Ave-MB
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite with the potential for up to 5 days onsite primarily at our Springfield, VA customer SCIF site, and/or at our Fairfax, VA company office.
Everforth ECS seeks a Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team environment. This role will report to a project lead and will focus on developing and maintaining data pipelines, as well as performing data analysis, to support Artificial Intelligence development across multiple classification levels and environments.
Position Responsibilities:
- Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts.
- Work in person at the required office and, as needed, classified locations with team members and customer stakeholders.
- Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork.
- Develop and document data workflows, assisting stakeholders with data management tasks, procedures, and best practices across multiple environments and classification levels.
- Extract, transform, and load data to prepare for ingest into Machine Learning (ML) development environments.
- Coordinate with the Program Manager and Data Team to determine data requirements and to serve as the project data advocate.
- Independently identify, document, and address technical challenges.
- Identify, design, and implement internal process improvements including optimizing data delivery and automating manual processes.
- Complete complex data analysis, catering results to the customer in a holistic and easy-to-understand way.
We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.
Salary Range: $110,000 - $165,000
[General Description of Benefits](https://ecstech.com/careers/benefits)
- Must be a US Citizen
- Ability to obtain a TS/SCI Clearance
- A Bachelor's Degree in Data Engineering, Data Science, Information Management, Computer Science, Engineering, or an equivalent field
- 2-8+ years of working experience in one of the related areas: Data Engineering, Computer Engineering, Computer Science, or Data Science
- Demonstrated advanced proficiency with Python, Pyspark, and/or SQL
- Demonstrated advanced proficiency with parsing data in different formats for ML applications
- Demonstrated advanced experience with text parsing
- Demonstrated advanced proficiency of database principles and technology
- Demonstrated advanced data processing and data transformation skills with the ability to build, optimize, and automate data pipelines
- Demonstrated ability to perform root cause analysis on external and internal processes to identify opportunities for improvement and answer questions
- Excellent communication skills, analytical skills, and problem-solving abilities
Key Responsibilities
- Develop and maintain data pipelines for AI initiatives
- Perform data analysis and extract, transform, and load data for ML environments
- Document data workflows and best practices across multiple classification levels
- Coordinate with stakeholders to determine data requirements and serve as project data advocate
- Identify and address technical challenges independently
- Design and implement process improvements to optimize data delivery and automate manual processes
- Participate in technical exchange meetings with customers, vendors, and internal teams
Requirements
- Bachelor's Degree in Data Engineering
- Data Science
- Information Management
- Computer Science
- Engineering
- or an equivalent field
Skills Required
PythonPySparkSQLData Pipeline DevelopmentData AnalysisText ParsingDatabase PrinciplesData TransformationCommunicationAnalytical SkillsProblem SolvingCollaborationTeamwork
Benefits
- Competitive compensation
- Benefits package
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