Business Area and Seniority Level Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación. Engineering – 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 are 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. The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. Cloudera is seeking a Technical Lead, Spark (Java) with strong distributed systems expertise to work on the Cloudera distribution of Apache Spark and Livy. The role involves building enterprise‐grade systems for customers running Spark on thousands of nodes and processing petabytes of data. We are looking for a passionate engineer eager to enhance a product already supporting major production systems and to drive the next‐generation Data Engineering experience. You will collaborate with a distributed team across the United States and Hungary, including multiple Apache Spark committers. This role is not eligible for immigration sponsorship. Responsibilities Design new features for Cloudera's data engineering experience and take them from prototypes to leading a team to deliver the feature in production at scale. Contribute to Apache Spark and Livy. Develop new features in Scala, Java, and Python on modern platforms. Gain expertise in distributed data processing, from SQL planners and optimizers to data layout and table formats such as Apache Parquet and Iceberg, to fault tolerance in distributed systems. Acquire a solid understanding of components across the Cloudera Data Engineering Experience stack, focusing on Iceberg and Spark. Work on large‐scale distributed systems, from hundreds to thousands of nodes, in production clusters. Debug system‐level deployment issues, perform root‐cause analysis, system test analysis, and resolve failures. Improve internal infrastructure. Collaborate with team members and stakeholders. Qualifications 8–10+ years of professional software development. Experience leading and delivering complex product enhancements. Strong understanding of at least one of Java, Scala, or Python and experience with these languages in projects. Experience with systems design and development. Passionate about programming, clean coding habits, attention to detail, and focus on quality. Strong oral and written communication skills. Strong ability to research and solve problems independently without constant supervision. Open‐minded, desire to learn new things, and build great products. Experience with distributed systems. Experience with SQL planners. Experience with Apache Spark, Livy, or other related technologies. Experience with large‐scale, distributed system design and development with an understanding of scaling, performance, and scheduling. Solid experience with at least one cloud. Contributors to open‐source projects. Benefits Generous PTO policy. Support for work‐life balance with Unplugged Days. Flexible WFH policy. Mental and physical wellness programs. Phone and internet reimbursement program. Access to continued career development. Comprehensive benefits and competitive packages. Paid volunteer time. Employee resource groups. xqysrnh Cloudera is an equal‐opportunity employer and encourages applicants of all backgrounds to apply. EEO/VEVRAA #J-18808-Ljbffr