Data Engineer (Full Performance) with Security Clearance

NS2 Mission

Chantilly (VA)

On-site

USD 110,000 - 171,000

Full time

2 days ago
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Benefits offered by this job

Benefits package
Clearance support

Job summary

NS2 Mission in Chantilly, VA is seeking a Full Performance Data Engineer to design, build, and operate scalable data pipelines and cloud data platforms in AWS. You will collaborate with software and mission stakeholders in an Agile environment to deliver data-driven solutions for critical national security programs.

The role emphasizes hands-on Python/ETL work, data quality, and automation, with opportunities to grow in modern data engineering technologies and contribute to mission success.

Qualifications

  • Experience building and maintaining scalable ETL pipelines.
  • Hands-on data engineer with Python and ETL expertise.
  • Experience with AWS cloud data solutions.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines and enterprise data workflows.
  • Build and enhance Python-based data processing solutions supporting production environments.
  • Support ingestion, transformation, and movement of structured and unstructured data across platforms.
  • Collaborate with engineering teams to improve data quality, pipeline reliability, scalability, and performance.
  • Develop and maintain cloud-based data solutions within AWS environments.
  • Participate in Agile development activities and sprint planning.

Skills

Python
ETL
Data analysis
Troubleshooting

Tools

Airflow
Docker
Kubernetes
Terraform
CI/CD

Job description

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.
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

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.

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.

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