Data Engineer: Scalable Pipelines, ML & BI (Hybrid)

Google Inc.; Mountain View (CA); Hybrid; USD 220,000 - 226,000; Full time

Job summary

Google in Mountain View, CA is seeking a Share Data Engineer to design and build scalable data processing systems and data pipelines for analysis and machine learning. You will develop data models, enable data-driven decisions, and create visualizations with BI tools such as Tableau, Power BI, or DataStudio.

Eligible candidates hold a Bachelor’s degree with 5 years’ experience or a Master’s with 3 years’ experience in data engineering.

Qualifications

• Bachelor’s degree in CS/engineering or related field with 5 years’ post‑baccalaureate Data Engineer experience.
• Master’s degree in CS/engineering or related field with 3 years’ Data Engineer experience.
• Requires 3 years’ experience in data pipelines, dimensional modeling, coding in Python/Java/Go/C++, and BI tools such as Tableau/Power BI/DataStudio.

Responsibilities

• Design and build secure, scalable data processing systems and infrastructure.
• Develop and maintain data models and pipelines for analysis and machine learning.
• Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning models.
• Create and consult on data visualizations and reports using BI tools; define data requirements with cross‑functional partners.
• Provide ongoing support by maintaining dashboards, documenting, and delivering training.

Skills

Python

Java

Go

C++

Data pipelines

Dimensional modeling

BI Tools

Tableau

Power BI

DataStudio

Data infrastructure

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Tableau

Power BI

DataStudio

Job description

Google in Mountain View, CA is seeking a Share Data Engineer to design and build scalable data processing systems and data pipelines for analysis and machine learning. You will develop data models, enable data-driven decisions, and create visualizations with BI tools such as Tableau, Power BI, or DataStudio.

Eligible candidates hold a Bachelor’s degree with 5 years’ experience or a Master’s with 3 years’ experience in data engineering.