Principal Engineer, Streamling Analytics
Google - Sunnyvale, CA, USA; +2 more
Posted Jun 11, 2026
Benefits
- Parental leave
- 18 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 18 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- $307K-$428K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
215% above the BLS role benchmark for software engineering aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Principal Engineer, Streamling Analytics Sunnyvale, CA, USA; +2 more Streaming Analytics is an organization of software engineers responsible for messaging and data processing products for internal Google consumption and external consumption. As the Principal Engineer, you will be responsible for setting the technical strategy for GCP Data Analytics' stream data processing portfolio, which includes PubSub and Google Managed Kafka. Google Cloud Pub/Sub is a fully-managed, real-time messaging service that enables decoupled, asynchronous communication between applications using a publish-subscribe model. Publishers send messages to topics, and subscribers receive them, allowing for flexible and scalable architectures. Cloud Pub/Sub differentiates itself through its serverless operation, global scale, high reliability with at-least-once delivery, and seamless integration with other Google Cloud services for data analytics and event-driven workflows. External customers leverage it for real-time data ingestion (e.g., from IoT devices and applications), building event-driven microservices, and streaming data to analytics platforms like BigQuery. Google also heavily relies on the same core messaging technology underpinning Cloud Pub/Sub for many of its own large-scale internal systems. Google Cloud Managed Service for Apache Kafka is a fully-managed service that simplifies deploying and operating Apache Kafka clusters on Google Cloud. It provides full compatibility with open-source Kafka APIs and tooling, allowing organizations to easily migrate existing self-managed Kafka workloads or build new event-driven applications. Unlike Google Cloud Pub/Sub, this service caters specifically to users who require native Apache Kafka functionality. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage
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