Sr. Palantir Full Stack Developer

Washington, DC, US • Posted 60+ days ago • Updated 7 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Macros
Marketing Operations
Application Development
Visualization
Microsoft Power BI
Data Integration
Management
UI
Data Management
Collaboration
Ontologies
Data Modeling
Extract
Transform
Load
Workflow
Unit Testing
Automated Testing
Embedded Systems
Data Validation
Data Quality
Quality Assurance
Debugging
Testing
Python
PySpark
Open Source
Communication
Presentations
Relationship Building
Energy
Business Development
Request For Proposal
RFQ
RFI
Data Science
Analytics
Data Engineering
DICE

Summary

Macro Pros has an immediate opening for a Sr. Palantir Foundry Full Stack Developer. Location preferences are metro DC, Atlanta, GA, Chicago, IL, St. Louis, MO and San Antonio, TX. We will consider individuals based elsewhere as well.
Job 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.

What You Will Need

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

What Would Be Nice to Have

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

#DICE

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91073075
Position Id: MK327379513
Posted 30+ days ago

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