Remote Oncology Data Engineer — AI-Driven ETL

Socket.dev; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Texas Oncology, a leading cancer care provider, seeks a Remote Oncology Data Engineer to join the Precision Medicine team. You will design and maintain ETL pipelines, enable AI-enabled data workflows, and collaborate with cross-functional teams to support oncology informatics decisions.

The role emphasizes data integrity, scalable architectures, and cloud-based solutions across EHR and molecular data domains. Remote work from Texas is supported within the US.

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.
• Strong background in cloud platforms (AWS, Azure, GCP).
• Experience with OpenAI tools and integrating AI functionalities, including LLMs, into data platforms.
• Understanding of oncology workflows and clinical data types.
• Knowledge of healthcare data standards (HL7, FHIR, ICD-10, LOINC, SNOMED).
• Experience working with EHR data (e.g., IKMg1/IKMg2, Epic, Copia).
• Strong scripting and automation skills (e.g., Python).
• Strong experience with SQL required.
• Experience with GitHub, Confluence, Jira preferred

Responsibilities

• Design, develop, and maintain robust ETL pipelines for large-scale data ingestion and transformation.
• Support data science initiatives with SQL coding from various data warehouses.
• Implement new data architecture 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.
• Implement monitoring and alerting systems; perform maintenance and upgrades to cloud infrastructure.
• Maintain documentation and promote best practices in cloud engineering, SQL, ETL, and AI integration.

Skills

SQL

Python

ETL

Data pipelines

Cloud platforms

LLMs / OpenAI tools

Data integration

Automation

Education

Bachelor's or Master's degree in computer science, engineering, or related field

Tools

OpenAI tools

GitHub

Confluence

Jira

Job description

Texas Oncology, a leading cancer care provider, seeks a Remote Oncology Data Engineer to join the Precision Medicine team. You will design and maintain ETL pipelines, enable AI-enabled data workflows, and collaborate with cross-functional teams to support oncology informatics decisions.

The role emphasizes data integrity, scalable architectures, and cloud-based solutions across EHR and molecular data domains. Remote work from Texas is supported within the US.