Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Skills
Access Control
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Data Analysis
Data Governance
Data Integration
DevOps
Docker
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Java
Kubernetes
Machine Learning (ML)
Microsoft Azure
Modeling
Ontologies
Ontology Engineering
Python
Regulatory Compliance
SQL
Scala
Scalability
Visualization
Workflow
Job Details
Requirement: Palantir EngineerLocation: Urbana, MDDuration: 6+ MonthsEmployment Type: Contract Status: Open Summary:
We are seeking a skilled Palantir Engineer with strong expertise in Palantir Foundry/Gotham for data integration, pipeline development, ontology modeling, and scalable application building. The candidate will work closely with cross-functional teams to design and deliver enterprise-level data-driven solutions.
Key Responsibilities:
We are seeking a skilled Palantir Engineer with strong expertise in Palantir Foundry/Gotham for data integration, pipeline development, ontology modeling, and scalable application building. The candidate will work closely with cross-functional teams to design and deliver enterprise-level data-driven solutions.
Key Responsibilities:
- Design, build, and maintain Palantir workflows, pipelines, and applications.
- Develop and optimize ontologies, data models, and operational workflows.
- Integrate data from multiple sources into Palantir using pipelines, APIs, and transformations.
- Ensure data governance, access control, and security compliance.
- Troubleshoot, monitor, and optimize Palantir solutions for scalability and performance.
- Collaborate with DevOps and cloud engineering teams for deployment and support.
- Bachelor s degree in Computer Science, Engineering, or related field.
- 5+ years of experience with Palantir Foundry or Gotham (pipeline & ontology development).
- Strong skills in Python, SQL, or Java/Scala.
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform).
- Knowledge of ETL, data governance, and distributed systems.
- Big Data tools: Spark, Hadoop, Kafka.
- DevOps/CI-CD, Docker, Kubernetes.
- Background in data analytics, visualization, or ML.
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