AI Data Engineer

Ethereum Technologies; Scottsdale (AZ); On-site; USD 140,000 - 190,000; Full time

Job summary

Ethereum Technologies is seeking an experienced AI Data Engineer to build and maintain scalable data pipelines and infrastructure to support AI/ML, RAG, and LLM applications. The role requires strong SQL, Python/Scala, and cloud data platform skills.

You will design ingestion pipelines, build embedding workflows, and ensure data quality, governance, and ML lifecycle support across production systems.

Qualifications

• Strong SQL and Python/Scala experience.
• Experience with Apache Airflow and dbt.
• Knowledge of RAG, vector databases, embeddings and vector search.
• Proficient in processing unstructured data.
• Understanding of ML lifecycle and MLOps workflows.

Responsibilities

• Design and develop data ingestion, transformation, and processing pipelines.
• Build embedding pipelines and integrate vector databases.
• Develop data 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 Processing

ML Lifecycle Knowledge

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.