Remote Oncology Data Engineer - AI-Driven Pipelines

US Oncology Inc.; Dallas (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Texas Oncology is seeking a Remote Oncology Data Engineer to join the Precision Medicine team. The role focuses on designing robust data pipelines and AI-enabled data architectures to support informatics decision-making.

The ideal candidate has 7–10 years of data engineering experience, healthcare exposure, and strong SQL/python skills. The position requires residing in Texas and offers remote work with a strong benefits package.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• 7–10 years of professional data engineering experience, with healthcare exposure preferred.
• Strong scripting and automation skills, especially Python.
• Experience with cloud platforms (AWS/Azure/GCP).
• Experience integrating OpenAI tools and LLMs into data platforms.

Responsibilities

• Design, develop, and maintain robust ETL pipelines from EMRs, labs, and data warehouses.
• Support data science initiatives with SQL across data warehouses.
• Implement new data architectures and optimize ETL workflows for performance and accuracy.
• Integrate AI functionalities into data platforms using OpenAI tools and LLMs.
• Collaborate with cross-functional teams to translate requirements into technical solutions.

Skills

Python

SQL

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

GitHub

Confluence

Jira

Job description

Texas Oncology is seeking a Remote Oncology Data Engineer to join the Precision Medicine team. The role focuses on designing robust data pipelines and AI-enabled data architectures to support informatics decision-making.

The ideal candidate has 7–10 years of data engineering experience, healthcare exposure, and strong SQL/python skills. The position requires residing in Texas and offers remote work with a strong benefits package.