About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The heart of data analytics processing is metadata. There have been multiple metastore related products in Google Cloud Platform (GCP), there has not yet been a product that gives the best of open source compatibility while having transparent first-party integration with GCPs suite of Data Analytics tools (Big Query, Dataproc, Dataflow, etc). This is the mission of Big Lake, to create the one unified managed catalog for all of GCP. Our work impacts the user experience across the GCP data analytics landscape. We collaborate closely with partner teams like Dataplex and Dataproc.

In this role, you will be instrumental in shaping the architecture and future of Big Query's metadata management capabilities.

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 $197,000-$291,000 + 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

• Develop features for open source Iceberg client libraries.

• Update use of such client libraries within Google.

• Design or influence features in the OSS community which are of interest to Big Query.

• Work with Big Query teams to help align design or feature semantics of Big Query features which overlap with Iceberg/Parquet/Polaris.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience participating in technical/developer communities, open source projects, or other developer community groups, and as an open source contributor.

• Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, or AI.

Preferred qualifications

• Experience with Data Analytics ecosystem (e.g., Iceberg, Spark, Flink, Pandas, Arrow).

• Experience using Java or Python in data analytics.