Remote Oncology Data Engineer: AI-Driven ETL & Cloud

US Oncology Inc.; Dallas (TX); Remote; USD 100,000 - 130,000; Full time

Job summary

US Oncology Inc. is seeking a Remote Oncology Data Engineer to join the Precision Medicine team in Dallas, Texas. The role involves designing and maintaining ETL pipelines, supporting data science initiatives, and integrating AI functionalities into data platforms. Candidates should have 7–10 years of data engineering experience in healthcare, a degree in a relevant field, and strong skills in Python and SQL. A collaborative environment encourages contributions to advanced oncology solutions.

Qualifications

• 7–10 years of professional experience in data engineering with a focus on ETL processes.
• Minimum 3+ years of professional experience in data engineering in Healthcare.
• Understanding of oncology workflows and clinical data types.

Responsibilities

• Design, develop, and maintain robust ETL pipelines for data ingestion and transformation.
• Implement new data architecture and optimize ETL workflows.
• Integrate AI functionalities into data platforms using OpenAI tools.

Skills

Data engineering

ETL processes

SQL

Python scripting

Cloud platforms (AWS, Azure, GCP)

OpenAI tools integration

Healthcare data standards

Education

Bachelor’s or master’s degree in computer science, engineering, or a related field

Tools

GitHub

Confluence

Jira

Job description

US Oncology Inc. is seeking a Remote Oncology Data Engineer to join the Precision Medicine team in Dallas, Texas. The role involves designing and maintaining ETL pipelines, supporting data science initiatives, and integrating AI functionalities into data platforms. Candidates should have 7–10 years of data engineering experience in healthcare, a degree in a relevant field, and strong skills in Python and SQL. A collaborative environment encourages contributions to advanced oncology solutions.