Secure Data Engineer - Pipelines, ETL & Analytics | TS/SCI

VT Group (VTG); Herndon (VA); On-site; USD 180,000 - 230,000; Full time

Job summary

VT Group (VTG) is seeking a Data Engineer in Herndon, VA to design, build, and support data pipelines from collection to ingestion, ensuring data integrity and security for cyber analysts and data scientists. You will work with REST APIs, flat files, and structured formats to deliver reliable data products and analytics access.

Ideal candidates bring 5+ years of Python software development, experience in data engineering, and strong Linux command-line skills, with Git/GitHub proficiency for

Qualifications

• 5+ years' experience with software development in Python.
• Experience building and maintaining data pipelines, ETL, and ingestion workflows.
• Experience with data engineering and data formats such as JSON, XML, CSV.
• Experience with Git/GitHub or similar version control systems.
• Familiarity with Bash, Linux, and command-line tools.

Responsibilities

• Design, build, and maintain resilient data pipelines using Python for data collection, ingestion, ETL, and analytics.
• Develop and support complex data solutions, including data transformation, validation, and quality controls.
• Integrate data from internal and external sources, including REST APIs and flat files.
• Ensure data availability, reliability, and secure handling to meet stakeholder needs.
• Test, troubleshoot, and validate data movement across development and production environments.
• Provide platform and production support, including debugging and root-cause analysis.
• Collaborate with cross-functional teams to deliver data products for analysts and data scientists.

Skills

Python

Data engineering

Git / GitHub

Bash / Linux

JSON / XML / CSV

Education

High School Diploma

Tools

Git

Bash

Linux

Job description

VT Group (VTG) is seeking a Data Engineer in Herndon, VA to design, build, and support data pipelines from collection to ingestion, ensuring data integrity and security for cyber analysts and data scientists. You will work with REST APIs, flat files, and structured formats to deliver reliable data products and analytics access.

Ideal candidates bring 5+ years of Python software development, experience in data engineering, and strong Linux command-line skills, with Git/GitHub proficiency for