Data Engineer with Gen AI (Contract W2)

Dallas, TX, United States

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Job Description

Job Title: Data Engineer with Gen AI

Location: Dallas, TX

Job Type:  Contract W2

Key Responsibilities:

  • Design, build, and optimize scalable data pipelines and workflows for processing large datasets.
  • Collaborate closely with Data Scientists to facilitate model development, training, and inference processes.
  • Integrate and leverage Generative AI technologies to enhance data processing, feature engineering, and model development workflows.
  • Write idiomatic and efficient Python code, leveraging the latest features of Python 3.11+.
  • Ensure data integrity, quality, and availability across various systems.
  • Implement and maintain best practices in data architecture, security, and governance.

Qualifications

Required Qualifications:

  • Strong proficiency in Python, particularly idiomatic use of Python 3.11+ features.
  • Proven experience as a Data Engineer working on large-scale data processing systems.
  • Demonstrated experience supporting Data Science workflows (e.g., feature engineering, model training, inference pipelines).
  • Experience with Generative AI frameworks and tools for data augmentation or model development.
  • Solid understanding of data structures, algorithms, and ETL concepts.
  • Experience with Azure Machine Learning for managing and deploying machine learning models.
  • Hands-on experience with Azure Data Factory for orchestrating data workflows.
  • Familiarity with other Azure data services (e.g., Data Lake, Synapse).

Additional Information

All your information will be kept confidential according to EEO guidelines.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Data pipelines Engineering ETL Feature engineering Generative AI Machine Learning ML models Model training Pipelines Python Security

Region: North America
Country: United States

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