Data Engineer
Google · Posted Oct 7
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Data and Analytics Services (DAS) team is a data hub for Google's Platforms and Devices organization, building and managing a centralized data warehouse and scalable analytics solutions on Google Cloud Platform to empower the devices organization with timely, accurate, and actionable data. The team partners with business stakeholders to translate data needs into technical solutions that drive decision-making, product strategy, and operational efficiency, while upholding data quality and governance. As a Data Engineer, this role designs, implements, and optimizes complex scalable data pipelines and data foundations, including AI/ML-supporting models, writing efficient SQL and Python and shaping team-wide standards and best practices.
What you will do
- Lead the design, development, and maintenance of data pipelines and Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) processes for the centralized data warehouse.
- Architect and optimize SQL queries for data transformation, analytics, and reporting.
- Develop and manage data foundations and models specifically designed to support Artificial Intelligence/Machine Learning (AI/ML) initiatives and the generation of AI-motivated insights. Develop and maintain data infrastructure to support the data foundations.
- Partner with executive business stakeholders, data scientists, and Artificial Intelligence (AI) teams to understand requirements, architect data solutions.
- Collaborate with other data engineers to deliver data solutions and promote technical growth within the team.
Skills used in this role
Preferred qualifications
- Experience supporting AI/ML initiatives and with Generative AI technologies, LLM integrations, RAG, Fine-tuning of models and vector databases.
- Experience building and productionizing end-to-end data pipelines using ETL tools.
- Experience with advanced data modeling and schema design for analytics.
- Expertise with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Pub/Sub) and AI infrastructure (e.g., Vertex AI, BigQuery ML).
- Familiarity with the consumer electronics industry or supply chain data.
- Excellent stakeholder management and communication skills, with the ability to translate technical concepts to non-technical audiences.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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