General Dynamics Information Technology
General Dynamics Information Technology
General Dynamics Information Technology (GDIT) provides consulting, digital modernization, and application services for government and defense organizations. Its work spans artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies, alongside mission-critical programs in logistics and supply chain management, intelligence, and homeland security. The company also operates across consulting, healthcare, and logistics, with hiring efforts that emphasize diverse teams and employee well-being. GDIT’s roles may suit professionals interested in applying emerging technologies to complex public-sector and national-security challenges.

Principal Analytics Engineer – Remote, United States | GDIT

Lead the development of scalable data pipelines, analytics models, and dashboards for General Dynamics Information Technology’s U.S. government technology and mission services. Support data-informed decisions across defense and intelligence programs.

Description

  • Build and operate automated, scalable ETL/ELT pipelines with Python, SQL, and cloud technologies
  • Integrate, transform, and validate structured and unstructured data from varied sources
  • Create and oversee analytics-ready models and workflows in Databricks or comparable platforms
  • Apply GitLab CI/CD practices to data workflows
  • Develop and deploy interactive dashboards and reports with Tableau, Power BI, or comparable tools
  • Mine, clean, and manipulate data using SQL and Python
  • Carry out exploratory analysis, feature preparation, model validation, and documentation
  • Partner with engineers, analysts, developers, and stakeholders to turn business needs into models, pipelines, and visualizations
  • Maintain metadata, data dictionaries, and technical records
  • Prepare recurring and one-time reports for leadership
  • Handle urgent and ad-hoc data requests
  • Contribute to collaborative research and analysis across program areas
  • Mentor colleagues on analytics practices, Python scripting, data modeling, and workflow automation

Requirements

  • Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or a related quantitative discipline, plus 5+ years of relevant experience; a master’s degree may reduce the experience requirement to 3+ years
  • Advanced proficiency in Python, SQL, and Git/GitLab
  • Experience developing ETL/ELT pipelines with CI/CD and established data engineering practices
  • Experience working with relational and non-relational databases, including Oracle and PostgreSQL
  • Experience producing executive-ready dashboards in Tableau or Power BI
  • Strong analytical and problem-solving capabilities
  • Ability to interpret large, complex datasets and explain findings to technical and non-technical audiences
  • Ability to work independently and collaboratively in fast-paced agile settings
  • Strong written and verbal communication skills
  • U.S. citizenship required
  • Must hold or be able to obtain Public Trust (BI Full 6C, T4); must be able to obtain Top Secret clearance
  • Availability to work outside standard business hours, including weekends, as needed

Benefits

  • Medical coverage options, including plans with Health Savings Accounts
  • Dental coverage options
  • Vision coverage
  • 401(k) plan with pre-tax and post-tax contributions plus company matching
  • Flexible work weeks where the role permits
  • Vacation, sick, and personal leave
  • Paid holidays
  • Paid parental leave
  • Military leave
  • Bereavement leave
  • Jury duty leave
  • Up to 160 hours of paid family leave during a rolling 12-month period for eligible employees
  • Short- and long-term disability coverage
  • Life insurance
  • Accidental death and dismemberment insurance
  • Personal accident insurance
  • Critical illness insurance
  • Business travel and accident insurance

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