Palantir Full Stack Developer – Senior Consultant
| Company | Guidehouse |
|---|---|
| Location | Washington, DC, USA, Chicago, IL, USA, San Antonio, TX, USA, Arlington, VA, USA, Sacramento, CA, USA, Atlanta, GA, USA |
| Salary | $113000 – $188000 |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- Requires a University Degree and minimum of THREE (3) years of prior relevant experience
- Experience in Palantir Foundry expertise, supporting full stack development services
- Experience in developing data pipelines using Python/PySpark
- Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies
- Ability to design and deliver solutions with autonomy, working collaboratively as part of a team
- Strong communication/presentation skills and ability to explain technical topics to non-technical audiences
- Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward
Responsibilities
- Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry’s platform.
- Work on both frontend and backend components, ensuring seamless integration and functionality.
- Improve on application User Interface and visualization design.
- Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).
- Developing interactive workflow UIs.
- Develop ability to build/ access data versions within the tool as necessary to enable analytics.
- Develop writeback functionality into the tool as needed.
- Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary.
- Maintain applications as usage grows and requirements changes.
- Support Data Integration and Management: Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform.
- Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications.
- Support End to End data pipeline development – responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications.
- Support designing and building for high-scale data intensive workflows.
- Support Testing and Quality Assurance: Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline.
- Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality.
- Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality.
- Debug and resolve issues reported by users or identified through testing.
Preferred Qualifications
- Master’s Degree in Data Engineering, Business Analytics, Data Science, Statistics, or Computer Science
- Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients
- Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineering