Technology

Data Engineer - SME with Security Clearance

Dexian Signature FederalHerndon, VA🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Leverage your Python and data engineering expertise in a hybrid role that offers significant impact by delivering critical cyber data to analysts and scientists, with excellent career growth potential within a reputable federal contractor. You'll thrive in this position if you are a motivated individual eager to build and maintain resilient data pipelines and ensure data integrity within a secure environment. Apply now to join a dynamic team and contribute to vital national security initiatives.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Herndon, VA, United States

Posted

4 days ago

ETLBashGitPythonREST

Job Description

Data Engineer – SME
Location: Herndon
Clearance Requirement: TS/SCI with Full Scope Polygraph Description – Seeking a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer’s data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists. Responsibilities include but are not limited to –

Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics
Develop and support complex data solutions, including data transformation, validation, and quality controls
Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats
Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs
Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments
Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance
Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments Minimum Qualifications – • High School Diploma and 5+ years’ experience with software development in Python
Experience with data engineering
Experience building and maintaining data pipelines, ETL processes, and ingestion workflows
Experience with Git/GitHub or similar version control systems
Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data
Experience working with Bash, Linux, and command-line tools in a development or production environment