Overview
On Site
$100,000 - $120,000
Full Time
100% Travel
Skills
Data Engineer
Palantir Foundry
ETL
Python
AWS
S3
Glue
Athena
Lambda
Redshift
PySpark
AI/ML
TensorFlow
PyTorch
Apache
Spark
Kafka
Snowflake
Devops
CI/CD
Docker
Kubernetes
Job Details
Role: Data Engineer with Palantir Expertise
Location: NJ/NYC/Atlanta (Onsite)
Duration: Full Time
Seasoned Data Engineer with 5-10 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:
- 5-10 years of hands-on experience in data engineering with a focus on ETL workflows, data pipelines, and cloud computing.
- Proven expertise or certification in Palantir Foundry is highly preferred.
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.