Remote Senior Healthcare Data Engineer - Precision Medicine Informatics - Dallas, Tx

The US Oncology Network is looking for a Remote Healthcare Senior Data Engineer to join their Precision Medicine Informatics Team. This role is pivotal in designing and maintaining data pipelines that manage large-scale clinical and molecular datasets, enabling data-driven insights for oncology care and research.

Responsibilities:

• Build and optimize scalable ETL/ELT pipelines for ingesting and transforming clinical, molecular, and lab data
• Improve data architectures and ensure efficient, accurate data integration
• Run advanced data queries to support analytics, reporting, and validation activities
• Document data assets, pipelines, and logic for transparency and compliance
• Support regulatory reporting and research workflows, including PHI protection and risk modeling
• Translate clinical and research needs into scalable technical solutions
• Integrate AI and LLM capabilities into data platforms and collaborate with AI teams on implementation
• Stay current with emerging AI technologies to enhance platform functionality
• Ensure data quality and integrity through monitoring, validation, and reconciliation
• Implement alerting systems and resolve issues proactively
• Perform regular cloud infrastructure maintenance and improvements
• Partner with cross-functional teams to deliver robust, end-to-end data solutions
• Manage multiple priorities in a fast-paced environment
• Maintain clear documentation of architectures, processes, and procedures
• Promote best practices in cloud engineering, ETL development, and AI integration

Requirements:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field
• Minimum five (5) years of healthcare data engineering experience focused on ETL/ELT development
• Hands-on experience integrating AI/LLM capabilities into data platforms
• Expertise in scalable ETL/ELT pipeline design and maintenance
• Strong SQL and relational database skills (e.g., SQL Server)
• Proficiency in scripting/automation (Python, Perl, PHP, Bash)
• Experience with cloud data platforms (Azure, AWS, GCP) and big‑data tools (Databricks)
• Skilled in data modeling and schema design for clinical/molecular data
• Knowledge of AI technologies and large language models
• Understanding of precision oncology workflows and clinical data formats
• Familiarity with molecular/genomic data (NGS, variants, biomarkers)
• Experience integrating lab, pathology, and molecular testing data
• Knowledge of healthcare standards (HL7, FHIR, ICD‑10, LOINC, SNOMED)
• Experience with EHR systems (iKnowMed, Epic, Orchard Enterprise Labs)
• Strong communication skills with ability to work independently and collaboratively
• Excellent problem‑solving, prioritization, and stakeholder‑management skills
• Relevant certifications such as SQL Certified Associate or Azure Data Fundamentals
• Experience with code repositories (e.g., GitHub) and knowledge‑management tools (e.g., Confluence)
• Strong understanding of data‑warehousing concepts and technologies
• Ability to design, deploy, and manage cloud infrastructure across AWS, Azure, or GCP