Data Engineer, Google Fi and Store, Infrastructure

Google; Mountain View (CA); On-site; USD 150,000 - 220,000; Full time

Job summary

A leading technology company is seeking a Data Engineer to design, develop and maintain data solutions and pipelines. The role involves working with cutting-edge technologies and a focus on data quality and security. Candidates should have extensive experience with data pipeline design and a strong foundation in programming. The position offers a competitive salary range of $150,000-$220,000 plus bonus and equity.

Benefits

Bonus

Equity

Benefits

Qualifications

• 5 years of experience designing data pipelines and dimensional data modeling.
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure.

Responsibilities

• Design and build data processing systems focusing on security and reliability.
• Create data visualizations and AI tools using BI tools.
• Develop and maintain data models and pipelines.
• Support data users and maintain reports and dashboards.

Skills

Data pipeline design

Dimensional data modeling

Programming

Data analysis

Statistical methodology

Stakeholder management

Machine Learning

Education

Bachelor's degree or equivalent

Tools

Tableau

Power BI

Jupyter notebooks

Spark

Data Flow

Job description

Data Engineer, Google Fi and Store, Infrastructure

• 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.

In this role, you will help the team to design, develop, and maintain data solutions and pipelines.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Employment type: Full-time

Seniority level: Not Applicable

Job function: Project Management, Consulting, and Engineering

Industries: Information Services and Technology, Information and Internet