Palantir Full Stack Developer, Senior Consultant
GuidehouseAbout the role
Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do
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; some roles may require graduate-level education Master’s or Doctorate degree (Relevant experience may be substituted for formal education or advanced degree)
- 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
- 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
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
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<
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