Staff Software Engineer, Biglakes, BigQuery
Company: Google
Location: Cupertino
Posted on: March 28, 2026
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Job Description:
Minimum qualifications: Bachelors 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. About the job Google Clouds software engineers develop
the next-generation technologies that change how billions of users
connect, explore, and interact with information and one another.
Were 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 Clouds 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 (BigQuery, Dataproc, Dataflow,
etc). This is the mission of BigLake, 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 BigQuerys 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
$207,000-$300,000 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 BigQuery. Work with BigQuery teams to help align design
or feature semantics of BigQuery features which overlap with
Iceberg/Parquet/Polaris.
Keywords: Google, Milpitas , Staff Software Engineer, Biglakes, BigQuery, IT / Software / Systems , Cupertino, California
