Data Engineer, ML Pipelines & Analytics

Google; United States; On-site; USD 106,000 - 151,000; Full time

Job summary

Google’s GCS Data Science team in the United States is seeking a Data Engineer to build data pipelines and reporting tools that empower data scientists and business stakeholders. You will work on feature engineering, automated data extraction, and wrangling to scale insights for both the data science team and Google's advertisers.

You will collaborate with a range of teams to design scalable solutions, ensure data integrity, and promote best practices in analytics, including dashboards and

Qualifications

• Bachelor's degree in CS or related field or equivalent practical experience.
• 1 year of experience designing data pipelines (ETL) and modeling data.
• Experience analyzing data, creating reports, and with SQL and visualization tools like Tableau.
• Proficiency in one or more general-purpose programming languages (Python, C/C++, Java).

Responsibilities

• Build data pipelines, reports, best practices and frameworks for analysts.
• Use feature engineering to support ML/AI model development and ETL scaling.
• Adopt best practices for data integrity, testing, analysis and documentation.
• Design scalable dashboards and web applications that tell a story and provide insights.
• Collaborate with stakeholders to identify feature/tooling gaps and innovate for customers.

Skills

ETL design

SQL

Python

C/C++

Java

Education

Bachelor's degree in CS or related field

Tools

Tableau

Job description

Google’s GCS Data Science team in the United States is seeking a Data Engineer to build data pipelines and reporting tools that empower data scientists and business stakeholders. You will work on feature engineering, automated data extraction, and wrangling to scale insights for both the data science team and Google's advertisers.

You will collaborate with a range of teams to design scalable solutions, ensure data integrity, and promote best practices in analytics, including dashboards and