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Data Engineer with Palantir !!! NY/NJ & Atlanta, GA (Onsite)

Marici SolutionsJersey City, NJ🇺🇸United StatesPosted 17 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: Data Engineer with Palantir Experience

Location: NJ/NYC

Duration: Long Term

We are seeking a 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.

Experience working in agile environments delivering complex data engineering solutions

Nice to Have:-

Strong experience with React (Hooks, state management, component patterns. Advanced TypeScript proficiency within Palantir.

UI rendering and interaction with TypeScript actions

Experience building production-grade frontend applications

Design entitycentric UIs backed by Foundry Ontology objects. Solid understanding of:

Eventdriven systems

Statedriven UIs

Workflowbased applications

Best Regards,

Rakesh Sharma

E-mail:

Web:

Skills

Docker
Microservices
AWS
ETL
Machine Learning
Snowflake
Agile
Apache
Apache Spark
Kafka
Kubernetes
PyTorch
Python
React
Redshift
TensorFlow
TypeScript

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