Entry Level Geospatial Data Engineer Jobs in New York

RESPONSIBILITIES:
Kforce has a client that is seeking a Palantir Data Engineer in Armonk, NY.
Summary:
We are seeking a skilled Palantir Foundry Data Engineer to support enterprise-scale data integration and operational analytics initiatives. This role will focus on designing, developing, and optimizing data pipelines within Palantir Foundry while integrating large datasets from cloud platforms, geospatial systems, and operational data sources. The ideal candidate will have hands-on experience with Palantir Foundry, PySpark, Databricks, SQL, and Azure-based data ecosystems. Experience working with geospatial/GIS data and supporting operational workflows is highly desirable.
Key Responsibilities:
* Design, develop, and maintain data pipelines within Palantir Foundry using Code Repositories, Transforms, and Workbooks
* Build and manage Foundry Ontology objects, properties, actions, and relationships to support business workflows
* Develop scalable ETL/ELT solutions using PySpark and Databricks
* Create and maintain application logic, workflows, and integrations using TypeScript
* Integrate and transform data from multiple enterprise systems including: Snowflake; SQL Server; Operational Data Stores (ODS); GIS platforms; Azure-based data services
* Support geospatial data processing, mapping solutions, and spatial data transformations
* Ensure data quality, governance, lineage, security, and access controls across data platforms
* Collaborate with business stakeholders, product teams, and technical resources to define and implement data solutions
* Troubleshoot and optimize data workflows for performance, scalability, and reliability
* Participate in architecture discussions and recommend best practices for data engineering and Foundry platform development
REQUIREMENTS:
* Minimum 1+ year of hands-on experience with Palantir Foundry
* Strong experience developing data pipelines using PySpark
* Experience with Databricks in a cloud-based environment
* Proficiency in TypeScript development
* Strong SQL skills with experience querying and integrating data from: Snowflake; Microsoft SQL Server; Operational Data Stores (ODS)
* Experience working with Microsoft Azure data services and cloud technologies
* Experience designing and supporting enterprise ETL/ELT frameworks
* Familiarity with geospatial, location-based, or GIS datasets
* Strong analytical, problem-solving, and communication skills
Preferred Qualifications:
* Experience working with ArcGIS or other GIS platforms
* Experience supporting field operations, asset management, or location-based workflows
* Experience integrating data across large-scale enterprise environments
* Knowledge of spatial data models, mapping technologies, and geospatial analytics
* Exposure to utility, energy, telecommunications, transportation, or asset-intensive industries
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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