Senior Data Engineer - Databricks and GenAI @ Austin, TX // Warren, MI - W2 ONLY

Location: Austin TX // Warren MI (4 days onsite/week)

Duration: 6 months contract to fulltime hire with client

W2 Only...

Work authorization: Any work authorization can apply for these openings.

Education Requirement - Bachelor's Degree in: Computer Science, Information Technology, Or related field

Experience required: Minimum 12 years of Total IT experience required.

Job Summary
We are looking for a Senior Data Engineer with strong hands-on experience in Databricks, PySpark, Python, and SQL. The candidate will build and maintain data pipelines, organize large amounts of data, and prepare data for AI and Generative AI applications.




Candidates must have experience working with Databricks on Azure or GCP, with strong practical knowledge of data engineering and data processing.







Key Responsibilities

• Build and maintain data pipelines using Databricks, PySpark, Python, and SQL.
• Process, clean, and organize data from different sources.
• Work with Delta Lake and Unity Catalog to manage and organize data.
• Build reliable data pipelines with proper testing, monitoring, and data quality checks.
• Prepare data for Machine Learning and Generative AI applications, including embeddings and RAG-based solutions.
• Work with cloud services, especially Azure data storage and security tools.
• Collaborate with data, application, and AI teams.
• Write technical documentation and participate in code reviews.

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks.
• Strong experience with PySpark, Python, and SQL.
• Experience with Databricks on Azure or GCP.
• Hands-on experience with Delta Lake and Unity Catalog.
• Experience building and managing production data pipelines.
• Knowledge of Git, code testing, and data quality checks.
• Good communication and problem-solving skills.

• Experience with Generative AI, RAG, embeddings, or vector search.
• Experience preparing data for Machine Learning applications.
• Knowledge of Azure services such as ADLS Gen2 and Key Vault.
• Experience with real-time data processing or streaming.
• Exposure to MLOps, model serving, or feature stores.
• Experience with manufacturing or automotive data is a plus, but not mandatory.

• Must be willing to work onsite 4 days per week in either Warren, MI or Austin, TX.
• Must have strong, hands-on Databricks, PySpark, and SQL experience.
• Must be comfortable converting to a full-time employee after approximately 6 months on contract.
• Candidates should be comfortable working with different teams and adapting to new technical environments.

Thanks & Regards,

Namrata Ahuja | Lead Talent Acquisition - US Staffing

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