Palantir Foundry Data Engineer
About The Position
CTG is seeking to fill a Palantir Foundry Data Engineer position for our client. This is a remote, 6-month contract role. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and data products using Palantir Foundry. This includes building and optimizing enterprise ETL/ELT pipelines, developing data processing solutions with PySpark and Databricks, and writing complex SQL queries across various database environments. The role also involves working with Azure data platforms, developing applications with TypeScript, integrating diverse data types (structured, unstructured, geospatial/GIS), and collaborating with cross-functional teams. Ensuring data quality, performance, reliability, and security are key aspects of this position, along with documenting technical solutions.
Requirements
- Palantir Foundry
- PySpark
- Databricks
- TypeScript
- Strong SQL skills
- Snowflake
- Microsoft SQL Server (MSSQL)
- Operational Data Store (ODS)
- Azure data platforms and Azure services
- Enterprise ETL/ELT development
- Geospatial/GIS data
- Strong analytical, problem-solving, and communication skills
- Minimum 1 year of hands-on experience working with Palantir Foundry.
- Strong hands-on experience developing data solutions using PySpark and Databricks.
- Experience with TypeScript development.
- Strong experience writing SQL queries and working with Snowflake, MSSQL, and ODS environments.
- Experience working with Azure data platforms and the broader Azure technology stack.
- Experience designing, developing, and supporting enterprise ETL/ELT pipelines.
- Familiarity with geospatial/GIS data and related data processing requirements.
- Demonstrated ability to troubleshoot complex technical issues and develop effective solutions.
- Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data products using Palantir Foundry.
- Build and optimize enterprise ETL/ELT pipelines to support data integration, transformation, and analytics.
- Develop data processing solutions using PySpark and Databricks.
- Write and optimize complex SQL queries across Snowflake, Microsoft SQL Server (MSSQL), and Operational Data Store (ODS) environments.
- Work with Azure data platforms and services to develop and support cloud-based data solutions.
- Develop and maintain applications, transformations, and workflows using TypeScript.
- Integrate and process structured, unstructured, and geospatial/GIS data.
- Collaborate with data engineers, analysts, architects, and business stakeholders to understand requirements and deliver reliable data solutions.
- Troubleshoot data pipeline issues, identify root causes, and implement effective solutions.
- Ensure data pipelines and solutions meet enterprise standards for performance, reliability, security, and data quality.
- Document technical solutions, data workflows, and processes.
Benefits
- competitive benefit package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
