Data Engineer - Palantir
Hybrid in Newark, NJ, US • Posted 17 hours ago • Updated 17 hours ago

Voto Consulting LLC
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Job Details
Skills
- Python
- Kubernetes
- Insurance
- Big Data
- PyTorch
- PySpark
- Amazon Redshift
- Amazon S3
- Data Engineering
- Machine Learning (ML)
- Docker
- Artificial Intelligence
- Glue
- Apache Kafka
- Snow Flake Schema
Summary
Job Title – Data Engineer - Palantir
Location: Jersey City, NJ
Work mode: Hybrid (4 days a week onsite)
Key Skills: Palantir, Python, PySpark, Insurance Domain
Job Description:
We are seeking a seasoned Data Engineer with 3-10 years of experience in data engineering, AWS, microservices architecture, and AI/ML frameworks, along with hands-on expertise or certification in Palantir Foundry. The ideal candidate will work on designing scalable data solutions, building robust pipelines, and integrating machine learning models into data workflows.
Key Requirements:
- 3-10 years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
- Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).
- Proficiency in programming languages such as Python, PySpark
- Deep understanding of microservices architecture and distributed systems.
- Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
- Experience with big data technologies like Apache Spark, Kafka, and Snowflake.
- Strong problem-solving and performance optimization skills.
- Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes.
- Experience working in agile environments delivering complex data engineering solutions.
- Proven expertise or certification in Palantir Foundry is highly preferred.
- Dice Id: 91014022
- Position Id: 8888341
- Posted 17 hours ago
Company Info
About Voto Consulting LLC
Voto Consulting LLC is currently accepting resumes for a variety of positions. Please review the database of positions that we are seeking to fill and contact us for additional information about any specific opportunity.

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