Data Engineer

• 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

• 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, * Bachelor’s degree in computer science or similar technical field
• Experience with Elasticsearch and Kibana
• Experience with AWS services such as Lambda, EC2, and S3
• Experience with data analytics and visualization tools
• Knowledge of cyber operations
• Certified Information Systems Security Professional (CISSP certification)

Clearance Requirements: An active/current TS/SCI with Polygraph is required

Physical Requirements: Must be able to remain in a stationary position 50% of the time Location Herndon, VA, United States of America