Data Engineer with Palantir !!! NJ/NY/GA
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About the role
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ob Title: Data Engineer – Palantir (Mandatory)
Location: NJ/NY/GA
Work Mode: Hybrid (4 days onsite per week)
Key Skills (Mandatory)
Palantir Foundry, Python, PySpark, AWS, Data Engineering
Job Description
We are seeking an experienced Data Engineer with mandatory Palantir Foundry expertise to design, build, and scale enterprise-grade data platforms. The ideal candidate will work on robust data pipelines, cloud-based architectures, and AI/ML integrations while collaborating with cross-functional teams in an agile environment.
Key Responsibilities
Design, develop, and maintain scalable ETL workflows and data pipelines
Build and manage data solutions using Palantir Foundry (mandatory)
Develop high-performance data processing solutions using Python and PySpark
Utilize AWS services such as S3, Glue, Athena, Lambda, and Redshift
Integrate AI/ML models into data engineering workflows
Implement microservices-based architectures and distributed systems
Optimize data performance, quality, and reliability
Work closely with stakeholders in an Agile/Scrum environment
Support DevOps practices including CI/CD pipelines, Docker, and Kubernetes
Required Qualifications
3–10 years of hands-on experience in Data Engineering
Mandatory hands-on experience or certification in Palantir Foundry
Strong proficiency in Python and PySpark
Solid experience with AWS data services
Experience with big data technologies: Apache Spark, Kafka, Snowflake
Strong understanding of microservices architecture
Familiarity with AI/ML frameworks (TensorFlow, PyTorch)
Experience with CI/CD, Docker, and Kubernetes
Strong analytical, problem-solving, and optimization skills
Proven experience delivering solutions in Agile environments
Preferred Qualifications
Palantir Foundry certification
Experience with enterprise-scale data platforms
Requirements
- 3–10 years of hands-on experience in Data Engineering
- Mandatory hands-on experience or certification in Palantir Foundry
- Strong proficiency in Python and PySpark
- Solid experience with AWS data services
- Experience with big data technologies: Apache Spark, Kafka, Snowflake
- Strong understanding of microservices architecture
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch)
- Experience with CI/CD, Docker, and Kubernetes
- Strong analytical, problem-solving, and optimization skills
- Proven experience delivering solutions in Agile environments
- Palantir Foundry certification
- Experience with enterprise-scale data platforms
Responsibilities
- We are seeking an experienced Data Engineer with mandatory Palantir Foundry expertise to design, build, and scale enterprise-grade data platforms
- The ideal candidate will work on robust data pipelines, cloud-based architectures, and AI/ML integrations while collaborating with cross-functional teams in an agile environment
- Design, develop, and maintain scalable ETL workflows and data pipelines
- Build and manage data solutions using Palantir Foundry (mandatory)
- Develop high-performance data processing solutions using Python and PySpark
- Utilize AWS services such as S3, Glue, Athena, Lambda, and Redshift
- Integrate AI/ML models into data engineering workflows
- Implement microservices-based architectures and distributed systems
- Optimize data performance, quality, and reliability
- Work closely with stakeholders in an Agile/Scrum environment
- Support DevOps practices including CI/CD pipelines, Docker, and Kubernetes
Benefits
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