Data Engineer: Scalable Pipelines & BI/ML

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

Job summary

Google in Mountain View, CA is seeking a Data Engineer to design and build scalable data pipelines and models to enable data-driven decisions and ML workflows. The role requires deep technical expertise and mentoring of junior team members.

You will work with Python, Java, Go, or C++, develop data infrastructure, and collaborate with cross-functional partners to implement data visualization and reporting solutions with BI tools such as Tableau, Power BI, or DataStudio.

Qualifications

• Bachelor’s degree in CS/Engineering/Math or related field with 5 years of post-baccalaureate experience.
• Master’s degree with 3 years of related experience is acceptable.
• 3 years of experience in data pipelines, dimensional data modeling, and data visualization using BI tools like Tableau, Power BI, or DataStudio.

Responsibilities

• Design and build secure, scalable data processing systems and infrastructure.
• Develop and maintain data models and pipelines for analysis and ML.
• Enable data-driven decisions by analyzing data, profiling systems, and deploying ML models.
• Create and consult on data visualizations and reports with BI tools; collaborate with partners to define data requirements and standards.
• Provide ongoing support by maintaining dashboards, writing docs, and training data users.

Skills

Problem solving

Mentoring

Communication

Education

Bachelor’s degree in CS/Engineering/Math

Master’s degree in CS/Engineering/Math

Tools

Python

Java

Go

C++

Job description

Google in Mountain View, CA is seeking a Data Engineer to design and build scalable data pipelines and models to enable data-driven decisions and ML workflows. The role requires deep technical expertise and mentoring of junior team members.

You will work with Python, Java, Go, or C++, develop data infrastructure, and collaborate with cross-functional partners to implement data visualization and reporting solutions with BI tools such as Tableau, Power BI, or DataStudio.