14 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build, test, ship, and performance-tune production data and machine learning workloads with customers using PySpark, SQL, Python, BigQuery, Managed Spark, Spanner, and AlloyDB.
- Create customer proofs of concept using real data, including de-identification of sensitive PCI and PHI data.
- Build lakehouse architectures, metadata and semantic context, and access controls for agentic solutions.
- Train, evaluate, deploy, and monitor machine learning and agentic components against customer business metrics.
- Refactor and migrate analytics, Spark, and operational database workloads to Google Cloud with measured price-performance outcomes.
- Embed with customer accounts, provide white-glove deployment, and convert field insights into product roadmap feedback.
Requirements
- Bachelor’s degree in engineering, computer science, a related field, or equivalent practical experience.
- At least 5 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting.
- Experience writing production code in Python and SQL.
- Experience with data cloud ecosystem products, technologies, or languages including Apache Spark, PySpark, BigQuery, Spanner, Catalog, and AlloyDB.
- Experience taking production-grade data cloud solutions from conception to launch, architecting cloud data systems, and building structured and unstructured pipelines.
- Experience training, evaluating, and deploying machine learning models in production.
- Preferred experience building LLM applications with Gemini, RAG, vector search, and multi-agent frameworks such as LangGraph, CrewAI, and ADK.
- Preferred experience with GCP data products or equivalents such as Databricks and Snowflake, plus open table formats including Iceberg and Delta Lake.
- Preferred experience migrating analytics, Spark, or database workloads between platforms and measuring cost and performance outcomes.
- Preferred skills include prompt engineering, model evaluation, LLM-native metrics, state management, and granular tracing.
Benefits
- Google benefits are provided; the posting also mentions equity and a 15% bonus target.
Tech Stack
Categories
Forward Deployed
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.