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.
Requirements
Bachelor's Degree is required
Minimum 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
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
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