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.
Salary Range: $110,000 - $165,000
General Description of Benefits
- 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
