Data Engineer (TS/SCI) - Cloud Pipelines

NS2 Mission; Chantilly (VA); On-site; USD 110,000 - 171,000; Full time

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

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.