Senior Data Engineer - Precision Health Informatics - Dallas, Tx

The US Oncology Network is looking for a Remote Senior Data Engineer to join our Precision Medicine Informatics Team. Some travel may be necessary.

As a part of The US Oncology Network, Texas Oncology delivers high-quality, evidence-based care to patients close to home. Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 300+ sites across Texas, our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Our mission is still the same today-at Texas Oncology, we use leading-edge technology and research to deliver high-quality, evidence-based cancer care to help our patients achieve "More breakthroughs. More victories." in their fight against cancer. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis.

The US Oncology Network is one of the nation's largest networks of community-based oncology physicians dedicated to advancing cancer care in America. The US Oncology Network is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care.

Why work for us?

Come join our team that is responsible for helping lead Texas Oncology in treating more patient diagnosed with cancer than any other provider in Texas. We offer our employees a competitive benefits package that includes 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, and lots of other great perks such as Tuition Reimbursement, an Employee Assistance program and discounts on some of your favorite retailers.

What does this position do?

The Senior Data Engineer is pivotal in designing, building, and maintaining robust data pipelines that ingest, transform, and manage large-scale clinical and molecular datasets from a diverse range of sources-including somatic and germline molecular results, lines of therapies, pharmaceutical treatments, treatment timelines, and more. You will play a key role in enabling data-driven insights for oncology care and research by ensuring seamless integration and high-quality management of complex healthcare data, primarily sourced from clinical lab service providers in a variety of clinical data formats. Supports and adheres to the US Oncology Compliance Program, to include Code of Ethics and Business Standards, and US Oncology's Shared Values.

The essential duties and responsibilities (including but not limited to):

• 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.

The ideal candidate will have the following background and experience:

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or related field.

• 7-10 years of data engineering experience focused on ETL/ELT development.
• 5+ years in healthcare data engineering or equivalent certifications.
• 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.

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.

#USONTX