Data Engineer

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Full Time Chantilly, VA, US

22 days ago Requisition

Salary Range: $ To $ Annually

Join NS2 Mission and help build the data solutions that power mission-critical operations. Our team is looking for a Full Performance
Data Engineer to join us in Chantilly, VA.In this role, you will develop and maintain scalable data pipelines, support cloud-based data platforms, and help transform complex data into actionable insights.

Working within an Agile environment, you'll collaborate with software engineers, data engineers, and mission stakeholders to design, develop, and optimize data solutions that support evolving mission needs. This is an excellent opportunity for a hands-on engineer looking to expand their expertise in modern data engineering technologies while contributing to impactful national security programs.

• Design, develop, and maintain scalable ETL pipelines and enterprise data workflows.
• Build and enhance Python-based data processing solutions supporting production environments.
• Support the ingestion, transformation, and movement of structured and unstructured data across multiple platforms.
• Collaborate with engineering teams to improve data quality, pipeline reliability, scalability, and overall system performance.
• Develop and maintain cloud-based data solutions within AWS environments.
• Participate in Agile development activities, including sprint planning, technical discussions, and solution implementation.
• Troubleshoot data pipeline issues and support the resolution of operational challenges.
• Contribute to the modernization and automation of data engineering processes and workflows.
• Assist with testing, deployment, and sustainment activities across the data platform.
• Document technical solutions, processes, and data workflows to support maintainability and knowledge sharing.

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical discipline (or equivalent combination of education and experience).
• Approximately 4-8 years of experience in data engineering, software engineering, or a related technical field.
• Experience working across the ETL lifecycle, including pipeline development, optimization, and maintenance.
• Strong proficiency in Python for data processing and application development.
• Hands-on experience working within AWS cloud environments, including services such as EC2, Lambda, EKS, and S3.
• Experience developing and supporting scalable data solutions in production environments.
• Understanding of data engineering best practices, data modeling concepts, and performance optimization techniques.
• Experience working within Agile development teams.

• Experience with workflow orchestration tools such as Apache Airflow.
• Experience with containerization technologies including Docker and Kubernetes.
• Experience with Infrastructure as Code tools such as Terraform.
• Familiarity with CI/CD pipelines and Dev Ops practices.
• Experience working with large datasets and distributed data processing frameworks.
• Strong analytical and troubleshooting skills with the ability to solve complex technical challenges.

• A hands-on Data Engineer who enjoys building and optimizing data pipelines and cloud-based data solutions.
• Someone comfortable working independently while collaborating closely with a cross-functional engineering team.
• A candidate with strong Python and ETL experience who can contribute quickly to ongoing data engineering initiatives.
• An engineer who is eager to learn, adapt to new technologies, and support continuous improvement efforts.
• Someone who enjoys solving complex data challenges and contributing to mission-driven technical solutions.

Position Clearance Requirement:

TS/SCI with an FSP

Salary and Benefits Information:

The salary range for this position is $ to $. The proposed range is intended as a general guideline. Final compensation will be determined based on qualifications,…