Data Engineer with LLM

Role: Data Engineer with LLM

Location: Denver, CO (Onsite)

Duration: 12+ Months

About the Role:

We are seeking a highly skilled Data Engineer with expertise in Python and experience working with Large Language Models (LLMs) to join our dynamic team in Denver, Colorado. As part of our AI & Data Engineering group, you will be responsible for designing, building, and maintaining scalable data pipelines and integrating advanced LLMs into our data infrastructure and applications.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines for processing large volumes of structured and unstructured data.
• Collaborate with data scientists, ML engineers, and product teams to integrate LLMs into enterprise applications and workflows.
• Optimize and automate data extraction, transformation, and loading (ETL) processes.
• Develop APIs and services for LLM-based models and applications.
• Ensure data integrity, governance, and quality throughout the data lifecycle.
• Monitor and improve the performance of data infrastructure and LLM-integrated systems.
• Support and manage data lakes, data warehouses, and real-time data processing platforms.

Required Qualifications:

• 9+ years of professional experience in data engineering.
• Strong proficiency in Python and related libraries (e.g., Pandas, PySpark, FastAPI).
• Hands-on experience with Large Language Models (e.g., OpenAI, Hugging Face, LangChain).
• Deep understanding of data architecture, data modeling, and ETL best practices.
• Experience with orchestration tools like Apache Airflow or similar.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Knowledge of containerization (Docker), CI/CD pipelines, and version control systems like Git.