Data Engineer (Full Performance)

Posted 2 Days Ago
Be an Early Applicant
Chantilly, VA, USA
In-Office
110K-171K Annually
Senior level
Artificial Intelligence • Software • Defense • Defense Technology • Military Software
The Role
Develop and maintain scalable ETL pipelines, Python-based data processing solutions, and AWS cloud data platforms. Support data ingestion, transformation, workflow reliability, performance optimization, testing, deployment, and sustainment. Collaborate within Agile engineering teams and with mission stakeholders to modernize data workflows, troubleshoot production issues, improve data quality, and transform structured and unstructured data into actionable insights.
Summary Generated by Built In

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.

Key Responsibilities
  • 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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 DevOps practices.
  • Experience working with large datasets and distributed data processing frameworks.
  • Strong analytical and troubleshooting skills with the ability to solve complex technical challenges.
What We're Looking For
  • 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 $110,243.00 to $170,899.00. The proposed range is intended as a general guideline. Final compensation will be determined based on qualifications, experience, location, and contractual considerations and may fall outside of the stated range. We offer a great benefits package designed to support you and your family. View our benefits information here: https://sapns2.com/ns2-mission-careers/

Please be aware, many of our positions require the ability to obtain or maintain a U.S security clearance which requires U.S citizenship

We win with inclusion

NS2 Mission’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At NS2 Mission, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

NS2 Mission is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with NS2 Mission and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected].

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical discipline, or equivalent education and experience
  • Approximately 4-8 years of experience in data engineering, software engineering, or a related technical field
  • Experience across the ETL lifecycle, including pipeline development, optimization, and maintenance
  • Strong proficiency in Python for data processing and application development
  • Hands-on experience with AWS cloud environments, including EC2, Lambda, EKS, and S3
  • Experience developing and supporting scalable data solutions in production environments
  • Understanding of data engineering best practices, data modeling, and performance optimization
  • 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 DevOps practices
  • Experience with large datasets and distributed data processing frameworks
  • Strong analytical and troubleshooting skills for solving complex technical challenges
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The Company
HQ: Chantilly, Virginia
67 Employees

What We Do

NS2 Mission delivers mission-focused software, data, cloud, and AI solutions for the U.S. Intelligence Community and Department of War. Our engineers, data scientists, and mission experts build and operate secure capabilities that turn complex data into trusted, actionable mission advantage. We specialize in modern software engineering and DevSecOps, enterprise data engineering and management, cloud-native architectures, advanced analytics, geospatial solutions, and operational AI/ML. Our teams develop scalable data pipelines and repositories, automate secure software delivery, and enable data science from experimentation through production. Our AI capabilities include production-deployed Retrieval-Augmented Generation (RAG), generative AI-assisted software development, predictive analytics, MLOps with model versioning and gold dataset management, secure data science experimentation environments, and Model Context Protocol (MCP) services that securely connect AI agents with enterprise data. Backed by SAP NS2 and decades of experience supporting classified missions, NS2 Mission combines deep mission understanding with modern engineering to help customers securely discover, develop, deploy, and scale the data-centric capabilities their missions demand.

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