Lead Data Engineer

OneOncology

3d

About The Position

OneOncology is seeking a hands-on technical leader to design, build, and operate the data pipelines and platform components that power advanced analytics, AI/ML initiatives, and critical business operations. The role translates business and technical requirements into reliable, scalable, high-performance data solutions on the Databricks platform. The Lead Data Engineer works with data analysts and engineering teams and leads a small team through code reviews, design discussions, and delivery while remaining actively involved in coding and implementation. Solutions should balance performance, cost, maintainability, scalability, and observability. The position is full-time and may be based in Austin, Texas, Nashville, Tennessee, or remotely.

Requirements

• High school diploma or GED.
• At least 7 years of hands-on experience in data engineering or the Big Data domain.
• At least 2 years leading or mentoring engineers in a technical lead or senior engineer role.
• Strong hands-on experience with modern Big Data technologies and cloud data warehouses; Databricks is preferred, while Snowflake or Fabric is acceptable.
• Solid experience building scalable data solutions on a leading cloud platform; Azure is preferred.
• Proficiency in SQL and Python or another object-oriented language.
• Strong communication skills, including the ability to explain technical challenges and solutions clearly to varied stakeholders.
• Proactive, productive, analytical problem-solving skills and a track record of troubleshooting and optimizing complex data workflows.
• Ability to break projects into discrete tasks or components and create user stories.
• Attendance is an essential job function.

Nice To Haves

• Experience with orchestration and transformation tools such as Airflow or Azure Data Factory.
• Working knowledge of data modeling methodologies such as Dimensional, 3NF, and Data Vault, and experience applying them in warehouse and data lake implementations.
• Experience implementing data governance, security, and compliance requirements in data pipelines.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines for the data warehouse and data lake.
• Assess the advantages and disadvantages of existing and proposed design solutions.
• Provide day-to-day technical leadership to data engineers, including story definition, task planning, code review, and delivery oversight.
• Implement and follow team data modeling, integration, and lifecycle standards, and contribute to refining them.
• Own the implementation and ongoing operation of the Databricks Cloud Data Warehouse, optimizing performance, cost, scalability, and maintainability.
• Build data quality checks, lineage tracking, and metadata practices into pipelines.
• Implement data governance controls for access, retention, accuracy, and integrity in partnership with governance and security teams.
• Apply security and privacy requirements, such as HIPAA and SOX, to pipeline and platform design as appropriate.
• Partner with data analysts and business stakeholders to understand data needs and explain technical tradeoffs.
• Monitor, troubleshoot, and optimize data workflows, and lead root-cause analysis of production issues.
• Mentor and coach data engineers on engineering best practices, testing, CI/CD, and emerging tools.
• Take on additional responsibilities as assigned to help advance OneOncology's mission.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: High school or GED