Software Engineer, Cloud Dataproc, Open Source
Role summary
Google is seeking Software Engineers to develop next-generation technologies for massive-scale information systems. This role focuses on Cloud Dataproc, enabling open-source data analytics workloads in the cloud using frameworks like Hadoop and Spark. Responsibilities include building customer-facing features, driving technical design for performance and LakeHouse features, reviewing code, and enhancing open-source technologies for performance, reliability, and security. The position requires experience with performance optimization, systems data analysis, debugging, and open-source development, with preferred experience in specific frameworks and big-data optimization problems. The role is hybrid, with a base salary range of $147,000-$211,000 plus bonus, equity, and benefits.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA; Kirkland, WA, USA
.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with performance optimization, systems data analysis, visualization tools, or debugging.
- Experience developing with Spark, Hive, or with similar processing frameworks.
- Experience with Open-Source.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience developing frameworks such as Apache Spark, Trino, or Flink.
- Knowledge of open-source big-data performance optimization problems.
- Ability to work across boundaries in a distributed team.
About The Job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Cloud Dataproc enables open source data analytics users (Apache Hadoop, Spark, Flink, Trino, etc.) to modernize their Open-Source BigData Analytics workloads in the cloud. Dedicated to meeting customers where they are, Dataproc enables users to quickly provision and manage clusters and workloads.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Build high-impact customer-facing features which make Cloud Dataproc the best place to run Hadoop and Spark in the cloud.
- Drive technical design and execution for differentiated Performance and LakeHouse features and enhancements in an ambiguous problem space.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Enhance Apache Spark for performance, reliability, security, and monitoring, and simultaneously enhance Lake House technologies like Iceberg, Hudi, or Delta Lake for performance, security, and monitoring.
- Contribute to and adapt existing documentation or educational content based on product and program updates, as well as user feedback, while also extending open-source technologies like Apache Spark, Hive, and Trino to improve their debuggability, observability, and supportability.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .