Data Engineer - Security Clearance Eligibility Required

the Opportunity•Springfield, VA

2d•Hybrid

About The Position

Recruit22 has partnered with a leading federal technology and AI solutions organization to identify a talented Data Engineer to support mission-critical Artificial Intelligence and Machine Learning initiatives within the U.S. Government sector. This is an exciting opportunity to work alongside data scientists, engineers, and government stakeholders on cutting-edge AI programs. The successful candidate will play a key role in developing, optimizing, and maintaining data pipelines that enable AI/ML solutions across multiple secure environments and classification levels. The position offers a hybrid work arrangement with a minimum of three days onsite weekly in Springfield, VA, with occasional requirements for additional onsite support.

Requirements

U.S. Citizenship required.
Ability to obtain and maintain a TS/SCI Clearance with Polygraph.
Bachelor's degree in: Data Engineering, Data Science, Computer Science, Information Management, Engineering, Or a related technical discipline
2+ years of experience in: Data Engineering, Data Science, Computer Science, Software Engineering, Related technical fields
Strong proficiency in: Python, PySpark, SQL
Experience building and optimizing data pipelines.
Advanced understanding of database concepts and technologies.
Experience transforming and preparing data for machine learning applications.
Strong data parsing and text processing skills.
Excellent analytical, troubleshooting, and problem-solving abilities.
Strong verbal and written communication skills.

Nice To Haves

Experience with Databricks or similar cloud-based data platforms.
Exposure to Artificial Intelligence and Machine Learning initiatives.
Experience supporting computer vision projects.
Knowledge of: Amazon Web Services (AWS), Microsoft Azure, Other cloud platforms
Experience handling geospatial datasets and data formats.
Familiarity with secure or classified environments.

Responsibilities

Design, develop, and maintain scalable data pipelines for AI and ML initiatives.
Extract, transform, and load (ETL) structured and unstructured data from multiple sources.
Optimize data processing workflows and automate manual processes where possible.
Parse, clean, and prepare complex datasets for machine learning development environments.
Perform detailed data analysis and communicate findings to technical and non-technical stakeholders.
Participate in customer, vendor, and internal technical meetings to coordinate AI-related datasets and priorities.
Identify data quality issues and develop recommendations for improvement.
Serve as a trusted advisor for data-related decisions and best practices.
Work closely with program leadership, engineers, data scientists, and customer stakeholders.
Document data workflows, standards, and procedures.
Conduct root cause analysis and resolve technical challenges independently.
Support continuous improvement initiatives that enhance data delivery and operational efficiency.