GCP Data Platform Engineer / GCP, BigQuery, PostgreSQL / Irvine, CA

Motion Recruitment; Irvine (CA); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

401(k) match

Paid Time Off

Job summary

Motion Recruitment in Irvine, CA is seeking a hands-on Data Engineer to expand its data platform on Google Cloud. You will build data infrastructure, develop backend services, and support scalable analytics powering retail technology products.

Ideal candidates have 3–7 years in data engineering, strong BigQuery, PostgreSQL, GCP, and Python skills, plus experience designing data pipelines and data warehouses. AI enhancements to data workflows are a plus.

Qualifications

• 3–7 years of experience in data engineering or a related software engineering role.
• Strong, hands-on experience with BigQuery, PostgreSQL, and Google Cloud Platform (GCP).
• 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.
• Experience with AI, LLMs, or AI-powered applications is a strong plus.

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.

Skills

Python

Backend development

Data engineering

Data pipelines

Tools

BigQuery

PostgreSQL

GCP

Job description

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 (GCP), 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 (GCP).
• 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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