Senior Data Engineer: Predictive Risk & Data Architecture

Google; Chicago (IL); On-site; USD 156,000 - 226,000; Full time

Job summary

Google seeks a Senior Data Engineer for gTech Risk in Chicago, IL. The role focuses on building data architectures and risk indicators, while embedding risk controls across workflows.

You will collaborate with core Data Science and Engineering teams to move from reactive to predictive risk insights, delivering dashboards for leadership reviews. Candidates should bring at least 5 years in data pipelines and modeling, proficiency in Python or R, and strong SQL with BI tools like Tableau or Looker.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing data pipelines and dimensional data modeling.
• Experience with Python or R for statistical analysis and model development.
• SQL experience and data visualization tools (Tableau, Looker).

Responsibilities

• Develop and maintain data architecture powering gTech’s risk graph.
• Design and deploy automated risk indicators across gTech workflows.
• Integrate gTech data with central enterprise risk platforms.
• Partner with Data Science and Engineering to shift to predictive risk analysis.
• Build and manage executive dashboards for reviews and risk posture.

Skills

Data pipelines design

Mentoring

Python or R

SQL & visualization

Education

Bachelor's degree or equivalent practical experience

Tools

Flume

DataFlow

Spark

Job description

Google seeks a Senior Data Engineer for gTech Risk in Chicago, IL. The role focuses on building data architectures and risk indicators, while embedding risk controls across workflows.

You will collaborate with core Data Science and Engineering teams to move from reactive to predictive risk insights, delivering dashboards for leadership reviews. Candidates should bring at least 5 years in data pipelines and modeling, proficiency in Python or R, and strong SQL with BI tools like Tableau or Looker.