Lead Data Engineer

Lead Data EngineerOneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.Job DescriptionOneOncology is seeking a Lead Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. The Lead Data Engineer is a hands-on technical leader who designs, builds, and operates the data pipelines and platform components that power advanced analytics, AI/ML initiatives, and critical business operations. Working closely with data analysts and engineering teams, you will translate business and technical requirements into reliable, scalable, high-performance data solutions on our Databricks platform. You will work alongside a small team of engineers through code reviews, design discussions, and delivery, while remaining deeply involved in the coding and implementation yourself. Your work will balance performance, cost, maintainability, scalability, and observability.ResponsibilitiesDesign, build, and maintain scalable batch and streaming data pipelines that feed our data warehouse and data lakeUnderstand the advantages and disadvantages of existing and proposed design solutionsProvide day-to-day technical leadership to a team of data engineers, including story definition, task planning, code review, and delivery oversightImplement and follow data modeling, integration, and lifecycle standards established by the team, and contribute to refining themOwn the implementation and ongoing operation of our Databricks Cloud Data Warehouse, optimizing for performance, cost, scalability, and maintainabilityBuild data quality checks, lineage tracking, and metadata practices into pipelines from the startImplement data governance controls (access, retention, accuracy, and integrity) in partnership with the governance and security teamsApply security and privacy requirements, such as HIPAA and SOX, in pipeline and platform design as appropriatePartner with data analysts and business stakeholders to understand data needs and explain technical tradeoffs clearlyMonitor, troubleshoot, and optimize data workflows, and lead root-cause analysis on production issuesMentor and coach data engineers on engineering best practices, testing, CI/CD, and emerging toolsAdditional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.QualificationsRequiredHighschool diploma or GED7+ years of hands-on experience in data engineering or the Big Data domain2+ years leading or mentoring engineers in a technical lead or senior engineer roleStrong hands-on experience with modern Big Data technologies and cloud data warehouses such as Databricks, Snowflake, or FabricSolid experience building scalable data solutions on a leading cloud platform (Azure preferred)Proficiency in SQL and Python (or another OO Language)PreferredExperience in orchestration and transformation tools (e.g., Airflow, Azure Data Factory)Working knowledge of data modeling methodologies (Dimensional, 3NF, Data Vault) and experience applying them in warehouse and data lake implementationsExperience implementing data governance, security, and compliance requirements in data pipelinesEssential CompetenciesStrong communication skills, with the ability to explain technical challenges and solutions clearly to varied stakeholdersProactive, productive, and analytical problem solver with a track record of troubleshooting and optimizing complex data workflowsAbility to break down projects into discrete tasks/components and create user stories for themAttendance is an essential job function