Senior Data Engineer, Data Science Platform

$148,000 - $276,000/Yr

Nvidia - Austin, TX

Full-time - Mid Level

Austin, TX

Computer and Electronic Product Manufacturing

About the position

The Sr. Data Engineer for the Data Science Platform at NVIDIA plays a crucial role in supporting the company's cloud platform services through data-driven decision-making. This position involves designing and delivering high-performance services and libraries, building streaming data pipelines, and creating a data Lakehouse architecture to facilitate advanced real-time data analytics and machine learning training. The role requires collaboration with engineering and business teams to integrate innovative solutions into production systems while automating processes for monitoring and maintaining the data platform.

Responsibilities

• Design and deliver essential, high-performance services and libraries.
• Build streaming data pipelines for collecting and processing data from multiple sources.
• Design and build data Lakehouse architecture for customers.
• Partner with engineering and business teams to integrate innovations and algorithms into production systems.
• Automate processes for measuring, testing, updating, monitoring, and alerting the data platform.

Requirements

• Bachelor's or Master's degree in Computer Science or a related technical field (or equivalent experience).
• 5+ years of software engineering experience.
• Expert knowledge in building and operating multi-petabyte data lakes.
• Experience working with Spark and Trino compute, and expertise with open table formats such as Delta Lake and/or Iceberg.
• Excellent software development skills in one or more languages: Java, Scala, Python, or Go.
• Experience with building real-time streaming applications using Kafka.
• Strong interpersonal skills, including the ability to identify and communicate data-driven insights.

Nice-to-haves

• Contributions to open source projects.
• Experience with operating large-scale distributed systems with strong SLAs.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible work hours
• Opportunities for professional development
• Diversity and inclusion programs