Lead Data Engineer - Databricks & DataOps Leader (Remote)

OneOncology; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

OneOncology 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 data solutions on our Databricks

Formación

• Bachelor-level degree not required; however, strong data engineering fundamentals and hands-on experience are essential.
• 7+ years of hands-on data engineering experience in Big Data.
• 2+ years of leading or mentoring engineers in a technical lead or senior role.
• Experience with Databricks, Snowflake, or Fabric in cloud data platforms.
• Proficiency in SQL and Python; familiarity with data modeling and governance.

Responsabilidades

• Design, build, and maintain scalable data pipelines (batch and streaming).
• Lead and mentor a team of data engineers, including task planning and code reviews.
• Own Databricks Cloud Data Warehouse operations and optimizations.
• Implement data governance, security, and compliance requirements.
• Collaborate with analysts and stakeholders to translate needs into data solutions.
• Build data quality checks and metadata practices from the ground up.

Conocimientos

SQL

Python

Leadership

Data modeling

Data governance

Educación

High school diploma or GED

Herramientas

Databricks

Snowflake

Fabric

Azure

Airflow

Azure Data Factory

Descripción del empleo

OneOncology 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 data solutions on our Databricks