Senior Data Engineer, Data Science Platform

NVIDIA is the world leader in accelerated computing.
$148,000 - $276,000
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer, Data Science Platform

We are looking for a Sr. Data Engineer - Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Sr. Data engineer with extensive data engineering experience for our data science platform supporting NVIDIA's cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake, accelerated data processing and ML/AI training for NVIDIA's cloud services.

What you'll be doing:

  • Design and deliver essential, high-performance services and libraries.
  • Build streaming data pipelines for collecting & processing data from multiple data sources: from the point of ingestion to useful insights
  • Design and build data Lakehouse architecture for our customers
  • Partner with our other engineering and business teams to integrate your amazing innovations and algorithms into our production systems
  • Automate everything for measuring, testing, updating, monitoring and alerting the data platform

What we need to see:

  • Bachelors or Master's degree in Computer Science or a related technical field (or equivalent experience)
  • 5+ years of software engineering experience
  • Passion about Big data and large scale distributed systems
  • Expert knowledge with building and operating multi-petabyte data lakes
  • Experience working with Spark and Trino compute and expertise with open table format such as delta lake and/or iceberg etc
  • Excellent SW development skills in one or more: Java/Scala/Python/Go
  • Experience with building real time streaming applications with kafka etc
  • Strong interpersonal skills including the ability to identify and communicate data driven insights

Ways to stand out from the crowd:

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

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

Last updated 2 months ago

Responsibilities For Senior Data Engineer, Data Science Platform

  • Design and deliver high-performance services and libraries
  • Build streaming data pipelines
  • Design and build data Lakehouse architecture
  • Partner with engineering and business teams
  • Automate measuring, testing, updating, monitoring, and alerting for the data platform

Requirements For Senior Data Engineer, Data Science Platform

Java
Scala
Python
Go
Kafka
  • Bachelors or Master's degree in Computer Science or related field
  • 5+ years of software engineering experience
  • Expert knowledge in building and operating multi-petabyte data lakes
  • Experience with Spark and Trino compute
  • Expertise with open table formats like delta lake and/or iceberg
  • Excellent SW development skills in Java/Scala/Python/Go
  • Experience with real-time streaming applications using Kafka

Benefits For Senior Data Engineer, Data Science Platform

Equity
  • Equity

Interested in this job?

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