Note: The job is a remote job and is open to candidates in USA. Texas Oncology is the largest community oncology provider in the country, seeking a Remote Oncology Data Engineer to join their Precision Medicine team. The role involves designing and building robust data pipelines and implementing new data architecture to support informatics decision-making, leveraging ETL methodologies and AI technologies.
Responsibilities
- Design, develop, and maintain robust ETL pipelines for large-scale data ingestion and transformation from various sources such as Electronic Medical Records (EMRs), 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 LLMs
- 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
Skills
- Bachelor's or master's degree in computer science, engineering, or a related field
- 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)
- 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
- Strong scripting and automation skills (e.g., Python)
- Strong experience with SQL required
- Excellent problem-solving abilities and attention to detail
- Effective communication and teamwork skills
- Ability to manage multiple priorities in a challenging environment
- Experience with GitHub, Confluence, Jira preferred
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-term and Long-term disability coverage
- A generous PTO program
- A 401k plan that comes with a company match
- A Wellness program that rewards you practicing a healthy lifestyle
- Tuition Reimbursement
- An Employee Assistance program
- Discounts on some of your favorite retailers
- Long-Term Incentive Plan (LTIP): an incentive program designed to attract, retain, and reward top talent
- Long-Term Incentive Plan (LTIP): is an incentive program that typically vests over a three-year period and is tied to both individual performance and the operational success of Texas Oncology
- Awards are discretionary and based on your position, performance, and potential for future career growth at Texas Oncology
- Awards are reviewed and approved during the annual compensation review
- LTIP awards are subject to your continued employment through the award payment date
Company Overview
Every day, The US Oncology Network helps approximately 3,300 providers deliver value-based, integrated care for patients—close to home. It was founded in 1992, and is headquartered in The Woodlands, Texas, USA, with a workforce of 10001+ employees. Its website is http://www.usoncology.com/.Company H1B Sponsorship
The US Oncology Network has a track record of offering H1B sponsorships, with 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.