Technical Intelligence Solutions

Data Engineer

Date Posted: Apr, 2022
Location: Reston, VA
Remote Capable: on-site

Security Compliance

  • US Citizenship
  • Clearance TS/SCI
  • DoD 8570 compliant
  • none compliant

Basic Qualifications

  • 1+ years
  • Security+ CE
  • none

Additional Qualifications

  • 1+ years of experience with using object-oriented programming languages, including Python, R, or Java
  • 1+ years of experience with data analysis and data quality of data preparation techniques
  • 1+ years of experience with building data pipelines, including Python and SQL
  • 1+ years of experience with Agile software development methods in a DevOps environment, including Docker, containers, and Kubernetes
  • Experience with Python data analytic modeling, including Pandas
  • Ability to prepare and analyze large complex data sets
  • Ability to perform middle-tier and back-end development
  • Ability to understand complex data sets and wrangle them into a searchable format

Preferred Experience

  • Experience in working with various intelligence disciplines, including GEOINT, HUMINT, MASINT, OSINT, and SIGINT, including the data and tools associated with these disciplines
  • Experience with designing and implementing ETL solutions in medium to large enterprise systems
  • Experience with GitLab, CI/CD, and Git and Linux repositories
  • Ability to generate data visualizations with tools, including Kibana, Tableau, or related tools
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Knowledge of graph databases or semantic data modeling
  • Knowledge of Agile process or SAFe methodologies
  • Knowledge of cloud systems, including AWS, Azure, or GCP
  • Master’s degree in Computer Science or a STEM field

Role Description

This is an opportunity to implement data engineering activities on some of the most mission-driven projects in the industry. Supporting counter threat efforts, you’ll have the chance to architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, and build data models. From sharing your skills in analytical exploration and examination of data to supporting the assessment, design, building, and maintenance of scalable platforms, you’ll work with our clients to solve their most pressing challenges.