Google Cloud's Dataproc team is seeking a Senior Software Engineer to develop and enhance open-source data analytics technologies. This role focuses on Apache Spark, Hadoop, and modern lake house technologies like Iceberg, Hudi, and Delta Lake.
The position offers an opportunity to work on critical projects within Google Cloud, specifically the Dataproc service which enables customers to quickly provision and manage big data clusters and workloads. You'll be part of a team that helps billions of users connect, explore, and interact with information through next-generation technologies.
As a Senior Software Engineer, you'll be responsible for enhancing core technologies for performance, reliability, security, and monitoring. The role requires strong expertise in Java programming, distributed systems, and analytical engines like Spark or Hive. You'll participate in design reviews, code reviews, and contribute to documentation and educational content.
The position offers competitive compensation ($166,000-$244,000 + bonus + equity) and comprehensive benefits. You'll work from either Sunnyvale, CA or Kirkland, WA, collaborating with talented engineers across Google Cloud. This is an excellent opportunity for experienced engineers passionate about distributed systems and data analytics to make a significant impact on enterprise-grade solutions.
The ideal candidate will have 5+ years of Java experience, strong background in distributed systems, and expertise in big data technologies. You'll need to demonstrate leadership qualities, versatility, and enthusiasm for tackling complex technical challenges. The role offers growth opportunities as both you and Google Cloud's fast-paced business evolve.