Staff Software Engineer, Spark

About this role

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we are the preferred data partner for top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Cloudera Data Engineering is the next-generation cloud-native service that helps our customers run large-scale data engineering workflows made up of industry-standard big data processing frameworks like Apache Spark and Apache Airflow with just a few clicks, across both on-premises and public cloud environments.

We are seeking a Staff Engineer with a strong technical background in Spark to lead the Cloudera Data Engineering Spark experience for all customers using Cloudera Data Services, Machine Learning services, and more. This high-impact IC role offers the opportunity to shape the future of Cloudera’s Spark space across multiple cloud environments, impacting thousands of customers worldwide.

As a Staff Engineer in the Cloudera Data Engineering space, you will:

• Gain deep technical knowledge across the Cloudera Data Engineering Experience stack, with a strong focus on Spark, and apply this expertise in your daily work.
• Build new features and improve Spark scale and performance to deliver a seamless experience for Cloudera’s data engineering customers.
• Work with a team of talented Spark and infrastructure engineers. Help hire...