Job details
- Location
- Scott Air Force Base, IL
- Work type
- Onsite
- Posted
- 5 days ago
- Apply on
- guidehouse.wd1.myworkdayjobs.com
About this role
## 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.
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