DB2 Admin

Ethereum Technologies LLC; Woodland (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies seeks an experienced AI Data Engineer to build scalable data pipelines and infrastructure for AI/ML, RAG, and LLM applications. You will leverage SQL, Python/Scala, cloud data platforms, and work with structured and unstructured data.

The role includes designing ingestion and transformation pipelines, embedding workflows, vector search, data quality and governance, and supporting MLOps. Collaboration across teams and cost-efficient, scalable solutions are expected.

Qualifications

• Strong SQL and Python/Scala development experience.
• Experience with cloud data platforms and data governance.
• Hands-on knowledge of Apache Airflow and dbt for data pipelines.
• Experience with AI/ML data engineering workflows.
• Familiarity with RAG, vector databases, embeddings and vector search.
• Ability to process structured and unstructured data (PDFs, logs, transcripts).
• Knowledge of ML lifecycle and MLOps concepts.

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.

Skills

SQL

Python/Scala

Cloud Data Platforms

AI/ML Data Engineering

RAG/Vector Databases/Embeddings

Unstructured Data Processing

ML Lifecycle

Tools

Apache Airflow

dbt

Snowflake Cortex

Job description

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

Job Description

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.
• Cloud Data Platforms.
• Apache Airflow / dbt.
• AI/ML Data Engineering.
• 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.