Lead Data Engineer: Remote Databricks Pipelines

OneOncology, LLC; Austin, Nashville (TX, TN); Hybrid; USD 140,000 - 200,000; Full time

Job summary

OneOncology, LLC is seeking a Lead Data Engineer to join our Austin, TX or Nashville, TN team, with remote options. The role focuses on designing, building, and operating scalable data pipelines and a Databricks-based data platform to power advanced analytics and AI initiatives.

You will guide a small team while coding and delivering high-quality data solutions. Ideal candidates have 7+ years in data engineering, hands-on cloud experience (Databricks, Snowflake, Fabric), SQL, Python, and a track

Qualifications

• 7+ years of hands-on data engineering experience.
• 2+ years leading or mentoring engineers in a technical lead or senior role.
• Experience with Databricks, Snowflake, or Fabric.
• Proficiency in SQL and Python.
• Experience with Azure cloud platform.
• Strong communication and problem-solving abilities.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines feeding our data warehouse and data lake.
• Provide day-to-day technical leadership to a team of data engineers, including story definition, task planning, code review, and delivery oversight.
• Own the Databricks Cloud Data Warehouse implementation and operation, optimizing for performance and cost.
• Build data quality checks, lineage tracking, and metadata practices into pipelines.
• Apply data governance controls in partnership with governance and security teams.
• Mentor engineers on engineering best practices, testing, CI/CD, and emerging tools.

Skills

Databricks

Snowflake

Fabric

SQL

Python

Data pipelines

Mentoring

Education

Highschool diploma or GED

Tools

Airflow

Azure Data Factory

Job description

OneOncology, LLC is seeking a Lead Data Engineer to join our Austin, TX or Nashville, TN team, with remote options. The role focuses on designing, building, and operating scalable data pipelines and a Databricks-based data platform to power advanced analytics and AI initiatives.

You will guide a small team while coding and delivering high-quality data solutions. Ideal candidates have 7+ years in data engineering, hands-on cloud experience (Databricks, Snowflake, Fabric), SQL, Python, and a track