Data Engineer, Top Secret/SCI Clearance, Cloud & Pipelines

Probity Inc.; Chantilly (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Probity Inc. in Chantilly, VA is seeking a Data Engineer to design, build, and maintain modern data solutions that support critical Intelligence Community operations. You will work with software and data engineers in an Agile team to develop scalable pipelines and cloud-based platforms.

The role emphasizes Python development, AWS cloud services, and data integration across complex environments to enable efficient data movement and transformation.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 4-8 years of data/engineering experience.
• Experience designing ETL pipelines and production data solutions.
• Proficiency in Python and AWS.
• Experience with cloud-based data platforms and Agile teams.

Responsibilities

• Design, build, and maintain enterprise data pipelines.
• Develop Python-based data ingestion, transformation, and processing solutions.
• Move and integrate structured and unstructured data across systems.
• Collaborate with engineering teams to improve data quality and scalability.
• Design cloud data solutions in AWS.
• Support Agile sprint activities and production operations.
• Create technical documentation and data flow diagrams.
• Contribute to automation to improve reliability and performance of data engineering processes.

Skills

Python

AWS

ETL pipelines

Data modeling

Data integration

Agile

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related technical discipline

Tools

Airflow

Docker

Kubernetes

Terraform

CI/CD

Job description

Probity Inc. in Chantilly, VA is seeking a Data Engineer to design, build, and maintain modern data solutions that support critical Intelligence Community operations. You will work with software and data engineers in an Agile team to develop scalable pipelines and cloud-based platforms.

The role emphasizes Python development, AWS cloud services, and data integration across complex environments to enable efficient data movement and transformation.