AI Data Engineer

Cloud Analytics Technologies, LLC; Scottsdale (AZ); On-site; USD 120,000 - 170,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Scottsdale, AZ is seeking an experienced AI Data Engineer to design and maintain scalable data pipelines and infrastructure that support AI/ML, RAG, and LLM applications. You will work with SQL, Python/Scala, cloud data platforms, and both structured and unstructured data.

Responsibilities include building ingestion and embedding pipelines, enabling vector search, ensuring data quality and governance, and supporting MLOps workflows to optimize performance and

Qualifications

• Strong SQL and Python/Scala skills.
• Experience with Apache Airflow and dbt.
• Expertise in RAG, vector databases, embeddings and vector search.
• Experience handling unstructured data processing.
• Knowledge of ML lifecycle concepts.

Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop pipelines for RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Skills

SQL

Python/Scala

Apache Airflow

dbt

RAG

Vector Databases

Embeddings

Vector Search

Unstructured Data

ML Lifecycle

Tools

Snowflake Cortex

Cortex Search

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:
Seeking an experienced AI Data Engineer to build and maintain scalable data pipelines and infrastructure supporting AI/ML, RAG, and LLM applications. The candidate should have strong SQL, Python/Scala, cloud data platforms, and experience processing structured and unstructured data.

Key Responsibilities:

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data pipelines supporting RAG, chunking, and vector search.
• Process structured and unstructured data (PDFs, documents, logs, transcripts).
• Implement data quality, governance, lineage, and access controls.
• Support ML model training, inference, MLOps, and LLMOps workflows.
• Optimize data pipelines for performance, scalability, and cost.

Mandatory Skills:

• Strong SQL and Python/Scala.
• Apache Airflow / dbt.
• RAG, Vector Databases, Embeddings, and Vector Search.
• Unstructured Data Processing.
• ML Lifecycle Knowledge.

Nice to Have:

• Snowflake Cortex / Cortex Search.
• Financial Services / Regulated Industry Experience.

We are an 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. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.