Remote Oncology Data Engineer - Precision Medicine - Dallas, Tx

Overview

Texas Oncology is looking for a Remote Oncology Data Engineer to join our Precision Medicine team. The position is based out of the corporate office in Dallas, Texas.

• Design, develop, and maintain robust ETL pipelines for large‑scale data ingestion and transformation from sources such as Electronic Medical Records, lab interfaces, and data warehouses.
• Support data science initiatives with SQL coding from various data warehouses.
• Implement new data architecture, drawing inspiration from existing pipelines.
• Optimize ETL workflows for performance and accuracy, ensuring seamless data integration.
• Integrate AI functionalities into data platforms using OpenAI tools and large language models.
• Collaborate with AI teams to implement AI‑driven solutions within the data pipeline.
• Stay updated on the latest advancements in AI and LLM technologies to enhance platform capabilities.
• Collaborate with cross‑functional teams to understand requirements and translate them into technical solutions.
• Implement monitoring and alerting systems to proactively identify and resolve platform issues.
• Perform regular maintenance, updates, and upgrades to cloud infrastructure and associated services.
• Maintain comprehensive documentation of system architectures, processes, and procedures.
• Advocate for and implement best practices in cloud engineering, SQL coding, ETL processes, and AI integration.

Education

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

Healthcare & Oncology Domain Knowledge

• Understanding of oncology workflows and clinical data types.
• Familiarity with molecular/genomic data (e.g., NGS, variants, biomarkers).
• Experience integrating laboratory, pathology, and molecular testing data.
• Knowledge of healthcare data standards (HL7, FHIR, ICD‑10, LOINC, SNOMED).
• Experience working with EHR data (e.g., IKMg1/IKMg2, Epic, Copia).

Experience

• 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 (e.g., AWS, Azure, GCP).
• Experience with OpenAI tools and integrating AI functionalities, including LLMs, into data platforms.

Technical Skills

• Strong scripting and automation skills (e.g., Python).
• Strong experience with SQL.
• Experience with Git Hub, Confluence, Jira preferred.

Soft Skills

• Excellent problem‑solving abilities and attention to detail.
• Effective communication and teamwork skills.
• Ability to manage multiple priorities in a challenging environment.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform the essential functions. Requires sitting for long periods of time. Some bending and stretching are required. Adequate finger dexterity and feeling to perform keyboarding and substantial repetitive motions involving the wrists, hands and/or fingers.

Requires vision and hearing corrected to normal range. Must be able to view computer screens and printed material accurately. Occasionally lifts and carries items weighing up to 40 lbs.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations will be offered to enable individuals with disabilities to perform essential functions. The work environment is typical of an office setting.