Data Engineer, Google Fi and Store, Infrastructure

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 (e.g., Data Flow, Spark, etc.).
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

• 5 years of experience with statistical methodology and data consumption tools, such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, Data Studio, and business intelligence platforms.
• 3 years of experience developing project plans and delivering projects on time within budget and scope.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
• Experience with Machine Learning for production workflows.
• Experience in designing database system or data infrastructure.

About the job

The Data and Analytics Infrastructure (DAI) team is a cornerstone of Google Fi and Google Store organizations, responsible for fueling data-motivated impact across multiple functions. Our mission is to empower Fi and Store with the data, tools, and insights needed to make informed decisions and drive growth.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.

The US base salary range for this full-time position is $150,000-$220,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
  
• Create or consult in creating data visualizations and AI tools using Business Intelligence (BI) tools (e.g., PLX, Datastudio, Tableau, etc.). 
  
• Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation of data and for use of data in ML training/models.
  
• Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
  
• Implement best practices for data quality, security, and privacy.