JR Software Engineer

Probity Inc.; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Probity seeks a Data Engineer in Chantilly, VA to design, build, and maintain modern data solutions supporting critical Intelligence Community operations. You will join an Agile team of engineers and stakeholders to develop scalable data pipelines and cloud-based platforms in AWS.

The role requires building production-ready Python data solutions, ETL pipelines, and data modeling while ensuring data quality and performance. Active TS/SCI with Polygraph clearance is required for consideration.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 4–8 years of professional experience in data engineering or related areas.
• Experience designing, developing, and maintaining ETL processes and pipelines.
• Strong Python production experience.
• Hands-on knowledge of AWS cloud services (EC2, Lambda, EKS, S3).
• Experience supporting scalable data platforms and production workflows.
• Knowledge of data modeling, integration, and performance optimization.
• Familiarity with Agile software development methodologies.

Responsibilities

• Develop, maintain, and enhance enterprise data pipelines for mission-critical workflows.
• Create and optimize Python-based data ingestion and transformation solutions.
• Support movement and integration of structured and unstructured data across systems.
• Collaborate with engineering teams to improve data quality, efficiency, and scalability.
• Design and support cloud-based data solutions within AWS environments.
• Participate in Agile sprints, planning, backlog refinement, and reviews.
• Investigate data-related issues and support production operations.
• Contribute to automation improving reliability of data engineering processes.
• Support testing, deployment, and maintenance of data platform capabilities.
• Create and maintain technical documentation and data flow diagrams.

Skills

Python

AWS

ETL

Data pipelines

Airflow

Docker

Kubernetes

Terraform

CI/CD

DevOps

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems

Tools

AWS

EC2

Lambda

EKS

S3

Docker

Kubernetes

Terraform

Job description

PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph

Position Code: 20-SO0828-1

Position Description:

Searching for a Data Engineer on our team in Chantilly, VA, you'll help design, build, and maintain modern data solutions that support critical Intelligence Community operations. As part of a collaborative Agile team, you'll work alongside software engineers, data engineers, and mission stakeholders to develop scalable data pipelines, optimize cloud-based data platforms, and enable the efficient movement and transformation of data across complex environments. This role offers the opportunity to work with modern technologies while contributing to impactful national security missions.

Key Responsibilities

• Develop, maintain, and enhance enterprise data pipelines supporting mission-critical workflows.
• Create and optimize Python-based solutions for data ingestion, transformation, and processing.
• Support the movement and integration of structured and unstructured data across multiple systems and environments.
• Partner with engineering teams to improve data quality, operational efficiency, and platform scalability.
• Design and support cloud-based data solutions within AWS environments.
• Participate in Agile development activities, including sprint planning, backlog refinement, and technical reviews.
• Investigate and resolve data-related issues while supporting production operations and system sustainment.
• Contribute to automation efforts that improve the reliability and performance of data engineering processes.
• Support testing, deployment, and ongoing maintenance of data platform capabilities.
• Create and maintain technical documentation, data flow diagrams, and operational procedures.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical discipline (or equivalent combination of education and experience).
• Approximately 4-8 years of professional experience supporting data engineering, software engineering, or related technical initiatives.
• Demonstrated ability to design, develop, and maintain ETL processes and enterprise data pipelines.
• Strong proficiency in Python and experience building production-ready data solutions.
• Hands-on knowledge of AWS cloud services, including technologies such as EC2, Lambda, EKS, and S3.
• Proven success supporting scalable data platforms and production data workflows.
• Solid understanding of data modeling, data integration, and performance optimization principles.
• Familiarity with Agile software development methodologies and collaborative engineering environments.

Preferred Qualifications

• Knowledge of workflow orchestration platforms such as Apache Airflow.
• Hands-on experience with containerization technologies including Docker and Kubernetes.
• Exposure to Infrastructure as Code (IaC) practices utilizing tools such as Terraform.
• Understanding of CI/CD pipelines and modern DevOps methodologies.
• Background working with large-scale datasets and distributed processing frameworks.
• Strong analytical, troubleshooting, and problem-solving abilities with a track record of resolving complex technical challenges.