Senior Data Engineer — AI/ML Data Pipelines & Architecture

Valiant Technologies LLC

Weehawken (NJ)

On-site

USD 120,000 - 170,000

Full time

3 hours ago
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Job summary

Valiant Technologies LLC in Plano, Texas is seeking a highly skilled Data Engineer with a strong background in AI/ML Engineering to design and build scalable data pipelines and architectures that enable advanced analytics and machine learning initiatives.

The ideal candidate will have 7–10 years of experience in data engineering, with deep knowledge of data modeling, ETL, data warehousing, and hands-on experience with Hadoop, Spark, Kafka, and cloud data services.

Qualifications

  • 7–10 years of experience in data engineering or a related field.
  • Strong focus on AI/ML engineering and data pipelines.
  • Excellent problem solving and communication abilities.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and architectures to support AI/ML applications.
  • Collaborate with data scientists to understand data requirements and ensure data availability for machine learning models.
  • Implement ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
  • Optimize data storage and retrieval processes for performance and efficiency.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Stay updated with the latest trends and technologies in data engineering and AI/ML.
  • Document data engineering processes and maintain clear communication with cross functional teams.

Skills

AI/ML Engineering
Programming languages
Data modeling & ETL
Big data: Hadoop/Spark/Kafka
SQL & NoSQL databases
Cloud data services

Education

Bachelor's degree in CS/Engineering/DS
Master's degree preferred

Tools

TensorFlow
PyTorch
Scikit-learn
Hadoop
Spark
Kafka
PostgreSQL/MySQL
MongoDB/Cassandra
AWS/Azure/Google Cloud

Job description

Valiant Technologies LLC in Plano, Texas is seeking a highly skilled Data Engineer with a strong background in AI/ML Engineering to design and build scalable data pipelines and architectures that enable advanced analytics and machine learning initiatives.

The ideal candidate will have 7–10 years of experience in data engineering, with deep knowledge of data modeling, ETL, data warehousing, and hands-on experience with Hadoop, Spark, Kafka, and cloud data services.

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