Remote Oncology Data Engineer — AI‑Powered Precision Medicine

The US Oncology Network; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401k plan with company match

PTO program

Tuition Reimbursement

Employee Assistance program

Discounts on retailers

Job summary

The US Oncology Network in Dallas, Texas is seeking a Remote Oncology Data Engineer to join our Precision Medicine team. The ideal candidate will design and build data pipelines, integrate AI tools, and maintain data architecture for informed decision-making in oncology. With a competitive benefits package, this role offers a chance to contribute to advanced cancer care while working with leading-edge technologies. Candidates should have extensive experience in data engineering, particularly in the healthcare domain, along with a strong background in SQL and cloud platforms.

Qualifications

• 7–10 years of experience in data engineering, focusing on ETL processes.
• Minimum 3+ years of experience specifically in Healthcare data engineering.
• Strong background in cloud platforms (e.g., AWS, Azure, GCP).
• Experience with OpenAI tools and integrating AI functionalities.

Responsibilities

• Design and develop robust ETL pipelines for large-scale data ingestion.
• Integrate AI functionalities into data platforms using OpenAI tools.
• Collaborate with teams to understand requirements and translate them into solutions.
• Implement monitoring systems to proactively identify platform issues.

Skills

Data engineering

ETL processes

SQL

Cloud platforms (AWS, Azure, GCP)

OpenAI tools and LLMs

Python scripting

Problem-solving

Effective communication

Attention to detail

Education

Bachelor’s or master’s degree in computer science or related field

Tools

GitHub

Jira

Confluence

Job description

The US Oncology Network in Dallas, Texas is seeking a Remote Oncology Data Engineer to join our Precision Medicine team. The ideal candidate will design and build data pipelines, integrate AI tools, and maintain data architecture for informed decision-making in oncology. With a competitive benefits package, this role offers a chance to contribute to advanced cancer care while working with leading-edge technologies. Candidates should have extensive experience in data engineering, particularly in the healthcare domain, along with a strong background in SQL and cloud platforms.