Generative AI (GPT) Data Engineer

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced Generative AI Data Engineer to architect and scale data pipelines, and to integrate GPT-based models and RAG solutions across enterprise data platforms.

You will collaborate with AI/ML engineers, data scientists, and application teams, using Python, SQL, Spark, and cloud services (AWS/Azure/GCP) to ensure data quality, governance, and scalable embeddings. This role demands strong ETL/ELT expertise and a passion for enterprise data.

Qualifications

• BS/BA in CS or related field required.
• Strong Python/SQL skills and data engineering experience.
• Hands-on with Spark/PySpark and large-scale ETL/ELT pipelines.

Responsibilities

• Design and maintain scalable data pipelines for structured and unstructured data.
• Build ETL/ELT workflows for ingestion, transformation, and processing.
• Develop data pipelines to support GPT/LLM and Generative AI apps.
• Implement RAG pipelines and vector embedding workflows.
• Prepare, clean, chunk, and transform documents for embedding and indexing.
• Integrate vector databases with enterprise data platforms.
• Work with OpenAI GPT models and Azure OpenAI services.
• Develop data workflows using Python, SQL, Spark, and related tools.
• Ensure data quality, governance, and monitoring processes.
• Collaborate with AI/ML engineers, data scientists, and app teams.

Skills

Python

SQL

ETL/ELT pipelines

LLMs / GPT concepts

RAG architecture

Vector databases

Cloud platforms

Spark / PySpark

REST APIs

Education

Bachelor's degree in Computer Science or related field

Tools

Pinecone/Weaviate/FAISS/Azure AI Search

Azure/OpenAI services

AWS/Azure/GCP

Job description

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

We are looking for an experienced Generative AI Data Engineer with strong expertise in data engineering, Large Language Models (LLMs), GPT-based solutions, and Retrieval-Augmented Generation (RAG). The candidate will be responsible for building scalable data pipelines, preparing and processing enterprise data, and integrating data platforms with GPT and other Generative AI models.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and processing.
• Develop data pipelines to support GPT, LLM, and Generative AI applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Prepare, clean, chunk, and transform documents for embedding generation and indexing.
• Integrate vector databases and embedding models with enterprise data platforms.
• Work with OpenAI GPT models and Azure OpenAI services.
• Develop data workflows using Python, SQL, PySpark, and Spark.
• Implement data quality, validation, governance, and monitoring processes.
• Collaborate with AI/ML engineers, data scientists, and application development teams.

Required Skills:

• Strong experience in Data Engineering and ETL/ELT pipelines.
• Hands-on experience with Python and SQL.
• Experience with Apache Spark / PySpark.
• Knowledge of GPT, LLMs, and Generative AI concepts.
• Hands-on experience with RAG architecture.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search.
• Knowledge of embeddings, document chunking, and semantic search.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehouses and data lakes.
• Understanding of REST APIs and data integration.

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.

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