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.

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).

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