Data Engineer

Robotics Technologies

Weehawken (NJ)

On-site

USD 99,000 - 141,000

Full time

45 hours ago
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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 (onsite) to build and run scalable data platforms for AI/ML use cases.


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 machine learning models

  • Build ETL workflows to extract, transform, and load data from multiple sources into data warehouses and lakes

  • Improve data storage and retrieval for performance and efficiency

  • Monitor data pipeline performance and reliability; troubleshoot issues as they arise

  • Maintain data quality and integrity using rigorous testing and validation processes

  • Keep current on emerging trends and technologies in data engineering and AI/ML

  • Document data engineering processes and communicate clearly with cross-functional teams


Requirements


  • AI/ML engineering expertise with experience using machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

  • Programming experience in Python, Java, or Scala

  • Experience with data modeling, ETL, and data warehousing solutions

  • Hands-on experience with big data technologies including Hadoop, Spark, and Kafka

  • Strong SQL skills with relational databases such as PostgreSQL and MySQL

  • Experience with NoSQL databases such as MongoDB and Cassandra

  • Familiarity with cloud platforms and data services (AWS, Azure, Google Cloud)

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field (Master's preferred)

  • Experience range: 7 to 10 years in data engineering or a related field, with strong focus on AI/ML engineering

  • Ability to work in a fast-paced environment and manage multiple priorities

  • Strong problem-solving skills and attention to detail

  • Excellent communication and interpersonal skills; collaborative team working style


Technologies


  • TensorFlow, PyTorch, Scikit-learn

  • Python, Java, Scala

  • Hadoop, Spark, Kafka

  • SQL, PostgreSQL, MySQL

  • MongoDB, Cassandra

  • AWS, Azure, Google Cloud


Job Details


  • Location: Weehawken, NJ (onsite)

  • Job ID: J55225

  • Duration: 10 Months + Extension

  • Domain Exposure: Manufacturing

  • Client: To Be Discussed Later

  • Employment Type: W-2, 1099, C2C

  • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

  • Pay: USD 87 per hour

  • Bill Rate (C2C): $87/hour

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