[Remote] Remote Oncology Data Engineer - Precision Medicine - Dallas, Tx

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.ResponsibilitiesDesign, 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 warehousesSupport data science initiatives with SQL coding from various data warehousesImplement new data architecture, drawing inspiration from existing pipelinesOptimize ETL workflows for performance and accuracy, ensuring seamless data integrationIntegrate AI functionalities into data platforms using OpenAI tools and LLMsCollaborate with AI teams to implement AI-driven solutions within the data pipelineStay updated on the latest advancements in AI and LLM technologies to enhance platform capabilitiesCollaborate with cross-functional teams to understand requirements and translate them into technical solutionsImplement monitoring and alerting systems to proactively identify and resolve platform issuesPerform regular maintenance, updates, and upgrades to cloud infrastructure and associated servicesMaintain comprehensive documentation of system architectures, processes, and proceduresAdvocate for and implement best practices in cloud engineering, SQL coding, ETL processes, and AI integrationSkillsBachelor's or master's degree in computer science, engineering, or a related fieldUnderstanding of oncology workflows and clinical data typesFamiliarity with molecular/genomic data (e.g., NGS, variants, biomarkers)Experience integrating laboratory, pathology, and molecular testing dataKnowledge 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 processesMinimum 3+ years of professional experience in data engineering in HealthcareStrong background in cloud platforms (e.g., AWS, Azure, GCP)Experience with OpenAI tools and integrating AI functionalities, including LLMs, into data platformsStrong scripting and automation skills (e.g., Python)Strong experience with SQL requiredExcellent problem-solving abilities and attention to detailEffective communication and teamwork skillsAbility to manage multiple priorities in a challenging environmentExperience with GitHub, Confluence, Jira preferredBenefitsMedicalDentalVisionLife InsuranceShort-term and Long-term disability coverageA generous PTO programA 401k plan that comes with a company matchA Wellness program that rewards you practicing a healthy lifestyleTuition ReimbursementAn Employee Assistance programDiscounts on some of your favorite retailersLong-Term Incentive Plan (LTIP): an incentive program designed to attract, retain, and reward top talentLong-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 OncologyAwards are discretionary and based on your position, performance, and potential for future career growth at Texas OncologyAwards are reviewed and approved during the annual compensation reviewLTIP awards are subject to your continued employment through the award payment dateCompany OverviewEvery 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 SponsorshipThe 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.