Senior Data Engineer, gTech Risk

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

Senior Data Engineer, gTech Risk

Google

Chicago, IL, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• Experience with Python or R for statistical analysis and model development.
• Experience in SQL and data visualization tools (e.g., Tableau, Looker).

Preferred qualifications:

• Master's degree in Data Science, Statistics, Computer Science, Economics, or equivalent practical experience.
• 6 years of experience in data analytics, data modeling, or risk quantification.
• Experience working within an Enterprise Risk Management (ERM) or Governance, Risk, and Compliance (GRC) framework.

About the job

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

In this role, you will protect Google and its users by identifying and implementing controls for significant risks. To ensure gTech's security and agility, the team analyzes gTech business processes to find control gaps, collaborates with stakeholders to resolve these gaps, and provides risk expertise to engineer solutions. Within this organization, the Risk Strategy and Engagement pillar serves as the intelligence core and the primary bridge to our business partnersGoogle creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Develop and maintain the data architecture and predictive models powering gTech’s risk graph.
• Design and deploy automated key risk indicators (rKRIs) across all gTech workflows, replacing manual, point in time reporting.
• Integrate gTech operational data with central enterprise risk platforms to create a single, automated source of truth.
• Partner with core Data Science and Engineering teams to transition our risk analysis from reactive (incident based) to predictive (threat based).
• Build and manage executive dashboards for business reviews, pipeline management, and enterprise risk posture reporting.

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