Data Engineer

ECS Tech Inc•Fairfax, VA

41d•$110,000 - $165,000•Hybrid

About The Position

Everforth ECS is seeking 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. The role requires a hybrid remote/onsite capacity, with a minimum of 3 business days onsite, potentially up to 5 days, primarily at the Springfield, VA customer SCIF site, and/or at the Fairfax, VA company office.

Requirements

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

Responsibilities

Participate in technical exchange meetings and discussions with 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.