AI Data Engineer

The AI Data Engineer role in Dallas, TX focuses on building and operating data infrastructure that supports AI and ML initiatives, including model training pipelines, RAG workflows, and production ML systems. The position emphasizes reliable, governed data delivery for analytics and AI consumption.

Responsibilities

• Design and implement data pipelines to ingest, clean, and transform structured and unstructured sources, including documents, PDFs, transcripts, and logs, for AI and ML use cases.
• Build and maintain vector embedding pipelines and support integration with a vector database for embedding storage and retrieval.
• Develop feature stores and pipelines that enable ML model training and inference.
• Implement RAG data pipelines, including chunking strategies, embedding refresh cycles, and metadata tagging.
• Work with ML engineers and data scientists to align on data requirements for training and evaluation.
• Maintain data lineage, quality controls, and governance across pipelines feeding AI systems.
• Optimize pipelines for cost and performance using approaches such as Dynamic Tables and streaming ingestion.
• Support MLOps and LLMOps workflows, including dataset versioning and tracking the data used in model training to support reproducibility and compliance.
• Implement entitlement and access control logic so AI systems can access only authorized data.

Requirements

• Strong SQL plus Python or Scala for pipeline development.
• Experience with a cloud data platform.
• Experience with orchestration tools such as Airflow and dbt.
• Understanding of embedding models, vector search, and RAG patterns.
• Experience with unstructured data processing.
• Familiarity with ML lifecycle concepts.

Tools and Technologies

• SQL, Python, Scala
• Airflow, dbt
• Vector database
• Dynamic Tables
• Streaming ingestion
• Snowflake Cortex, Cortex Search
• LangChain, Llama Index

Location, Contract Details, and Pay

• Job ID: J54343
• Location: Dallas, TX (onsite)
• Duration: 10 months + extension
• Job type: Contract
• Compensation: USD 80 per hour (listed as USD 80 - 80 per hourly)
• B ill rate: $80/hour (C2C)

Domain, Employment Type, and Work Authorization

• Domain exposure: Oil & Gas
• 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

Nice to Have

• Experience with Snowflake Cortex, Cortex Search, or similar in-warehouse AI tooling.
• Experience working in a regulated industry (financial services) with data entitlement and compliance requirements.
• Exposure to LLM application frameworks such as LangChain and Llama Index.

Equal Opportunity Employer

All aspects of employment including the decision to hire, promote, discipline, or discharge will be based on merit, competence, performance, and business needs.