Military Hire

Junior DeveloperGuidehouse

  • Not-remote
  • Full-time
  • Total comp
    Expected total yearly pay with bonus and equity at target, including any base pay.
  • Salary
  • Fairview Heights, IL

Job Summary

What You Will Do:

  • Support and participate in working groups, meetings, and contribute to metadata requirements and data structure modeling discussions.
  • Assist with administering data topics, data structure, and employment of best practices.
  • Data Dictionary Management: Support the management of a centralized repository of meaning, relationships, origins, usage, format, and metadata for the JPE data set.
  • Contribute to making data available to the JPE in a standard, easy-to-access manner and assist in developing and publishing APIs for use.
  • JPE Data Set Support: Assist in reviewing JPE data sources (applications, websites, programs, COPs, etc.) and sourcing additional JPE Data. Support the ingestion of JPE data into a structured format that allows for API development.
  • Common Operating Picture Support: Assist with data ingestion into Databricks, data transfer from Databricks into Palantir's Ontology, and front-end development tasks.

What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "TOP SECRET" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "TOP SECRET" or higher-level clearance are preferred.
  • Bachelor's degree
  • ONE (1) or more years of experience in Python development.
  • Ability to travel within CONUS, approximately 10% of the time.

What Would Be Nice To Have:

  • Experience working with DoD, DLA, or USTRANSCOM.
  • Ability to work in a fast-paced, agile environment and quickly learn technical concepts.
  • Excellent communication and collaboration skills.
  • Experience working with Maven Smart Systems or similar platforms.
  • Familiarity with API development.
  • Experience working with Python data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with Databricks (Advana).
  • Experience working in a cloud environment (e.g., AWS, Azure).
  • Understanding of data management and engineering best practices.
  • Familiarity with databases and data structures.
  • Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.