Data Engineer

Role Overview

The Data and Analytics Services (DAS) team is a data hub for the Platforms and Devices (P&D) organization. Our mission is to empower the devices organization with timely, accurate, and actionable data. We build and manage the centralized data warehouse, creating data pipelines and scalable analytics solutions on Google Cloud Platform.

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.

Why It Might Be a Fit

As a Data Engineer in the DAS team, you will play a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex and scalable data pipelines, moving beyond basic development to own key components of our data warehouse.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, a related quantitative field, or equivalent practical experience.
• 3 years of experience in a Data Engineering, Data Infrastructure, or Data Analytics role.
• Experience with data engineering and writing software in Python or SQL.
• Experience in managing and maintaining data projects from conception to production.
• Experience building and maintaining data pipelines tailored for ML, AI, or advanced analytics workloads.
• Expertise with Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Pub/Sub) and AI infrastructure (e.g., Vertex AI, BigQuery ML).
• Excellent stakeholder management and communication skills, with the ability to translate technical concepts to non-technical audiences.