16 hours ago
Base Salary
$207k - $300k/yr
Responsibilities
- Define and drive goals for a modern data warehouse with Data Science counterparts.
- Architect and build scalable batch and real-time pipelines for experimentation, product analytics, and ML/AI training loops.
- Own data quality, reliability, and observability for production datasets, including defining and operating SLAs and SLOs.
- Mentor and grow engineers through design reviews, code reviews, and actionable feedback.
- Drive cross-functional engineering initiatives across multiple teams and translate ambiguous requirements into technical designs.
Requirements
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8 years of software development experience.
- Experience with Apache Spark, Flink, Beam, Airflow, BigQuery, Snowflake, or similar infrastructure.
- Experience developing, debugging, and supporting large-scale data pipelines.
- Experience with distributed data processing frameworks and workflow orchestration tools.
- Experience with Go or C++.
- Experience in a technical lead or similar role, ideally setting technical direction for a small group of engineers.
- Ability to address business data requirements and remove development obstacles in a rapidly changing product environment.
Benefits
- US base salary of $207000 - $300000, plus a 20% bonus target, equity, and benefits.
- Benefits information is available through Google.
- The role supports global-scale work across Google DeepMind and Gemini Apps.
Tech Stack
Categories
Data Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.