Guidehouse

PalantirDeveloper

$113–188k Los Angeles, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Palantir Developer at Guidehouse. Skills: Palantir Foundry, Python, PySpark, Data Pipelines. Support Palantir Foundry Application Development. design and develop full-stack application”

Industry & Context.

Problems you'll solve

advanced data science or analytics expertise; design and deliver solutions with autonomy; consulting skills: identifying and addressing client needs; debug critical issues; resolve issues

Eligibility Requirements

Travel Required: Up to 10%, Clearance Required: None

What They're Looking For.

Must Have

Bachelor's Degree, THREE (3) years of prior relevant experience, Palantir Foundry expertise, developing data pipelines using Python/PySpark, advanced data science or analytics expertise, technical platforms, open-source programming technologies, design and deliver solutions with autonomy, working collaboratively as part of a team, communication/presentation skills, explain technical topics to non-technical audiences, consulting skills

Nice to Have

Master's Degree, supporting Federal Civilian, State and Local Government, or Energy Provider clients, support business development, RFP/RFQ/RFI responses involving data science/analytics/data engineering

What You'll Do.

Support Palantir Foundry Application Development

design and develop full-stack application

Work on frontend backend components

Improve application user interface

Implement operational applications

Develop interactive workflow UIs

build access data versions

Develop writeback functionality

Implement data visualizations

Maintain applications

Support Data Integration Management

Develop data pipelines

create datasets Foundry objects

Collaborate with Data Engineering Team

understand the ontology

Support end-to-end data pipeline development

Support designing building for high-scale

Support Testing Quality Assurance

Perform data validations analysis

use PyTest create implement unit tests

Implement Foundry Expectations

implement automated validations

Monitor debug critical issues

Develop execute unit tests

How You'll Work.

Team & Collaboration

Work closely with Subject Matter Experts; Collaborate with the Data Engineering Team; working collaboratively as part of a team

Communication Scope

communication/presentation skills; ability to explain technical topics to non-technical audiences

Full Job Description

**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** None ** _What You Will Do:_** 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 c

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