Data Engineer

NewGen

$90K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • TS/SCI FSP Clearance required
  • High School Diploma with 5+ years of Python software development experience
  • Proven background in data engineering
  • Experience in building and maintaining data pipelines and ETL processes
  • Familiarity with Git/GitHub or similar version control systems
  • Proficient in handling common data formats such as JSON, XML, and CSV
  • Knowledge of Bash, Linux, and command-line tools in a dev or production environment

Responsibilities

  • Design, build, optimize, and maintain data pipelines focusing on data collection and analytics
  • Develop complex data solutions, ensuring data transformation and quality
  • Integrate data from various internal and external sources, including APIs
  • Ensure data is reliable, accessible, and securely handled for stakeholders
  • Test and troubleshoot data movement and transformation code
  • Provide production support including debugging and issue resolution
  • Collaborate with teams to deliver data products and enhance user engagement with analytics

Benefits

  • Opportunity to work on cutting-edge data solutions in a cybersecurity environment
  • Collaborative work culture with cross-functional teams
  • Training and career development opportunities
  • Exposure to diverse data sources and innovative technologies
  • Potential for impactful contributions to national security initiatives
Full Job Description
Seeking a motivated, career and customer-oriented Data Engineer to join our Partner's 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
  • 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
Requirements
  • TS/SCI FSP Clearance
  • 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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