Palantir Developer
About The Position
Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop a full-stack application using Palantir Foundry’s platform. Work on both frontend and backend components, ensuring seamless integration and functionality. Improve the application's user interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Developing interactive workflow UIs. Develop the 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 change. 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 the 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 tests for one-time or automated tests 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.
Requirements
- A bachelor's Degree is required
- A 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 advanced 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
Nice To Haves
- Master’s Degree
- 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
Responsibilities
- Design and develop a full-stack application using Palantir Foundry’s platform.
- Work on both frontend and backend components, ensuring seamless integration and functionality.
- Improve the application's user interface and visualization design.
- Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate).
- Develop interactive workflow UIs.
- Develop the 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 change.
- Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform.
- Collaborate with the 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.
- Perform data validations and analysis, use PyTest to create and implement unit tests for one-time or automated tests 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.
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
