Lead Data Engineer

OneOncology

Lead Data Engineer overseeing data platform and analytics engineering teams at OneOncology. Responsible for operational excellence and technical direction in data processing and management.

Posted 5/2/2026full-timeRemote • Tennessee, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureETLPythonSparkSQLUnity

About the role

Key responsibilities & impact

Lead, mentor, and develop engineers across both the Data Operations and Analytics Engineering teams
Contribute to a culture of clear goals, open feedback, and continuous growth across the team.
Promote collaboration and accountability while driving high standards for quality, efficiency, and continuous improvement.
Lead incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and preventative improvements
Define and enforce operational standards, runbooks, and on-call practices for the team
Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met
Oversee the design, development, and maintenance of data models and transformations that serve business intelligence and analytics use cases
Define and enforce analytics engineering best practices including modular transformation patterns, data testing, and code review standards
Partner with data analysts and business stakeholders to understand modeling requirements and ensure data is accurate, accessible, and well-understood

Requirements

What you’ll need

8+ years of hands-on experience with SQL development
8+ years of experience working with relational and non-relational databases, with a strong foundation in data modeling, schema design, and query optimization.
5+ years of professional experience developing scalable solutions using Python or a similar OO language
Proficient in Databricks, Spark, and Delta tables; experience with large-scale distributed data processing preferred
Hands-on experience operating and monitoring data pipelines at scale in a production environment
Solid understanding of the Lakehouse and Medallion architectures
Experience with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, or equivalent)
Familiarity with Unity Catalog for data governance, access control, and data lineage
Proven experience with designing Data Integration/ETL pipelines, using such tools as Azure Data Factory or equivalent.
Excellent communication skills with the ability to convey technical concepts and operational status to both technical and non-technical stakeholders.

Benefits

Comp & perks

Values-driven culture
Support from industry leaders in oncology, technology, and finance
Collaboration with talented individuals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingschema designquery optimizationPythonDatabricksSparkDelta tablesdata integrationETL

Soft Skills

leadershipmentoringcollaborationaccountabilitycommunicationcontinuous improvementgoal settingfeedbackproblem solvingroot cause analysis