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Data Engineer - SME with Security Clearance

Dexian Signature FederalHerndon, VA🇺🇸United States

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

SeniorityMid Senior
Work modeHybrid
LocationHerndon, VA, United States
GitETLBashPythonRESTLinux

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

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