Google Cloud Platform Data Platform Engineer / Google Cloud Platform, BigQuery, PostgreSQL / Irvine, CA

A growing retail technology company develops connected devices and cloud-based software that help retailers improve loss prevention and customer safety. Its platform combines device events, operational data, analytics, and customer-facing applications across retail locations.
Role Overview
The company is expanding its data platform on Google Cloud and is looking for a hands-on Data Engineer with strong experience in BigQuery, PostgreSQL, Python, backend development, and data warehousing. This role will focus on building and maintaining data infrastructure, developing backend solutions, and supporting scalable data systems that power analytics and retail technology products.
The ideal candidate has approximately 3-7 years of experience and a strong technical foundation in Google Cloud Platform (Google Cloud Platform), BigQuery, and PostgreSQL. Experience with AI-powered applications or integrating AI capabilities into data platforms is a major plus.
Key Responsibilities

• Design, develop, and maintain data pipelines and data infrastructure on Google Cloud.
• Build and optimize data warehouse solutions using BigQuery.
• Develop and maintain PostgreSQL databases, queries, and data models.
• Write Python code to support data engineering, backend services, and automation.
• Build and maintain backend services that integrate with data platforms and applications.
• Optimize data processing, query performance, and overall platform scalability.
• Collaborate with engineering and product teams to support analytics and data-driven applications.
• Explore opportunities to integrate AI capabilities into data workflows and platform functionality.

Requirements

• Approximately 3-7 years of experience in data engineering, backend development, or a related software engineering role.
• Strong, hands-on experience with BigQuery, PostgreSQL, and Google Cloud Platform (Google Cloud Platform).
• Proficiency in Python and backend development.
• Experience building and maintaining data pipelines and data warehouse solutions.
• Understanding of database design, data modeling, query optimization, and scalable data systems.
• Ability to develop reliable, maintainable, and efficient production systems.
• Experience with AI, LLMs, or AI-powered applications is a strong plus.

Experience with Snowflake or AWS is helpful but not required.
Compensation & Benefits

• $130,000 - $150,000 base salary
• Medical, Dental, and Vision insurance
• 401(k) match
• Additional company benefits
• Paid Time Off

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