Data Engineer for AI/ML Pipelines - Onsite Weehawken

Robotics Technologies; Weehawken (NJ); On-site; USD 99,000 - 141,000; Full time

Job summary

Robotics Technologies is hiring a Data Engineer in Weehawken, NJ to build and run scalable data platforms for AI/ML use cases. You will design data pipelines, collaborate with data scientists, and implement ETL workflows to support analytics and experimentation.

The role requires hands-on experience with big data tools (Hadoop, Spark, Kafka), strong SQL skills, and cloud familiarity (AWS/Azure/GCP). You will operate onsite in Weehawken, contribute to data quality, and document processes for

Qualifications

• AI/ML engineering experience with relevant frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong data modeling, ETL design, and data warehousing experience.
• Hands-on big data tech stack: Hadoop, Spark, Kafka; SQL proficiency in PostgreSQL/MySQL.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures for AI/ML applications
• Partner with data scientists to clarify data requirements and ensure reliable data availability for models
• Build ETL workflows to load data into data warehouses and data lakes
• Improve data storage and retrieval for performance and efficiency
• Monitor data pipeline performance and troubleshoot issues
• Maintain data quality with rigorous tests and validations
• Stay updated on trends in data engineering and AI/ML
• Document data engineering processes and communicate with cross-functional teams

Skills

AI/ML engineering

Python/Java/Scala

Data modeling

ETL pipelines

SQL skills

NoSQL databases

Cloud platforms

Big data

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Hadoop

Spark

Kafka

PostgreSQL

MySQL

MongoDB

Cassandra

AWS

Azure

Google Cloud

Job description

Robotics Technologies is hiring a Data Engineer in Weehawken, NJ to build and run scalable data platforms for AI/ML use cases. You will design data pipelines, collaborate with data scientists, and implement ETL workflows to support analytics and experimentation.

The role requires hands-on experience with big data tools (Hadoop, Spark, Kafka), strong SQL skills, and cloud familiarity (AWS/Azure/GCP). You will operate onsite in Weehawken, contribute to data quality, and document processes for