Cloud Data Engineer | Build Scalable Data Pipelines & Analytics

Google; Des Moines (IA); Remote; USD 27,552 - 41,328; Full time

Job summary

Google in Des Moines seeks a Cloud Data Engineer to design and implement scalable data pipelines on Google Cloud. You will collaborate with engineering, sales, and services to deliver production-grade data solutions and optimize ETL/ELT workflows for large-scale analytics.

The role involves working with data warehouses, NoSQL, and Hadoop-based architectures, plus communication with senior stakeholders. Travel up to 30% may be required.

Qualifications

• Bachelor’s degree in computer science, information systems, a related technical discipline, or equivalent practical experience.
• Five years of experience with data processing software.
• Three years of experience handling customer-facing tasks, troubleshooting with engineering, sales, or services.
• Three years of experience in coding languages including Java, Python, Scala, or Go.

Responsibilities

• Create and share best practices internally and externally to accelerate implementations.
• Act as a trusted technical marketing consultant to clients and resolve their challenges.
• Provide high-quality pointers, tutorials, and sample code for diverse stakeholders.
• Participate in video conferences for reviews, and travel as needed (up to 30%).

Skills

Data processing

Customer-facing

Java

Python

Scala

Go

Education

Bachelor's degree in CS/related field

Tools

Data warehouses

ETL/ELT

NoSQL

Hadoop

Job description

Google in Des Moines seeks a Cloud Data Engineer to design and implement scalable data pipelines on Google Cloud. You will collaborate with engineering, sales, and services to deliver production-grade data solutions and optimize ETL/ELT workflows for large-scale analytics.

The role involves working with data warehouses, NoSQL, and Hadoop-based architectures, plus communication with senior stakeholders. Travel up to 30% may be required.