Senior Data Engineer, gTech Risk

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

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google seeks a Senior Data Engineer for the gTech Risk team in Chicago to architect data pipelines, build predictive models, and deliver risk dashboards that inform executive decisions. You will collaborate with Data Science and Engineering teams to reduce risk through proactive insights.

You will integrate diverse data sources, deploy automated indicators, and contribute to enterprise risk platforms while analyzing complex operational data.

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).

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 to predictive.
• Build and manage executive dashboards for business reviews, pipeline management, and enterprise risk posture reporting.

Skills

Data engineering

Python

SQL

Data visualization

Education

Bachelor's degree or equivalent

Tools

Flume

DataFlow

Spark

Tableau

Looker

Job description

corporate_fare Google place Chicago, IL, USA

Mid

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

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• 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.

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.

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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.