Senior Databricks Engineer
virtual vocationsDenver, CO
Senior Databricks Engineer
L5
virtual vocationsDenver, COyesterday
Owning the end-to-end data lifecycle, the full-time Senior Databricks Engineer will design and implement data solutions on the Databricks platform, utilizing Python, PySpark, and SQL to create scalable data pipelines and support analytics and AI/ML use cases in a remote work environment.
Key responsibilities:
Design, develop, and maintain robust batch and streaming data pipelines for the Databricks lakehouse on Azure
Automate data ingestion and streamline processes using Azure services and Databricks tools
Lead design and code reviews, establish engineering standards, and mentor junior data engineers
Required qualifications:
10+ years of professional experience in data engineering, analytics, or data warehousing
5+ years of hands-on experience with Databricks and production workloads
5+ years of experience with Python, including PySpark and Spark SQL
3+ years of data engineering experience on Microsoft Azure
Strong experience in designing and developing ETL/ELT pipelines for batch and streaming data
Apply now (opens in a new tab)
Level
SeniorL5
Location
Denver, CO
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
yesterday
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