Palantir Data Engineer

Guidehouse is a consulting firm specializing in data engineering and architecture. The Data Engineer will support the Department of State by reviewing and enhancing data policies, processes, and standards, while also developing data pipelines and visualizations to aid in data-driven decision-making.

Responsibilities:

• Develop and maintain data governance documentation, tools, and templates
• Define data requirements and ensure storage, availability, and coherence of electronically stored information meets the client’s needs
• Develop data pipelines involving collecting, transforming, cleaning, and validating data from multiple sources, using tools such as Palantir
• Coordinate with non-technical users to gather requirements
• Identify, summarize, and catalog data fidelity issues, and make recommendations to the client on how to resolve or mitigate the issues
• Request, document, report, and analyze data, and where applicable, create tools and resources to support data and reporting

Requirements:

• ACTIVE and MAINTAINED SECRET Federal or DoD security clearance
• Bachelor's degree in a relevant technical field
• THREE (3) years' experience in hands-on data engineering and/or database management
• Understanding of relational database concepts and structures
• Demonstrated ability to perform data blending, joining, and cleaning to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Palantir, etc
• Experience using Palantir Foundry to clean, transform, and integrate complex datasets into production systems (e.g., Archibus)
• Experience reading and cleaning data from external tables and importing it into relational database tables
• An acute attention to detail when reviewing tens-of-thousands of rows of data from numerous sources
• Ability to detect data issues affecting the performance of data pipelines and devise techniques for resolving or mitigating them
• Ability to collaborate with team members, other development groups, and users to determine and implement the best approach for all data synchronization work
• Flexibility to take direction from team members and adjust work activities for solutioning on various data efforts
• SIX (6) years' experience in hands-on data engineering and/or database management
• Knowledge of Archibus and/or Kahua
• Proficiency in querying and joining datasets using SQL
• Proficiency in data wrangling and analysis using Python
• Proficiency developing dashboards using Tableau or Power BI