Data Engineer, Google Maps

Google Inc.; Mountain View (CA); On-site; USD 106,000 - 150,000; Full time

Job summary

The Data Engineer, Geo Operations at Google will execute full-cycle processing pipelines of complex data within a guided project scope, with emphasis on managing cloud infrastructure and geospatial platforms.

Google's Geo team builds accurate maps for Maps, Earth, Street View and more; these roles support data models, pipelines, and visualizations used by billions of users worldwide.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year 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 working with data models by performing exploratory queries and scripts.
• Experience in Geographic Information Systems (GIS), including Esri software (ArcGIS) or FME for spatial data integration and analysis.

Responsibilities

• Implement business infrastructure and solutions to build and scale common frameworks for use by 3PDO Data Engineers and Operations team members.
• Develop and maintain data models, pipelines, and exchange formats to assist in the delivery, visualization, and analysis of geospatial data, with guidance.
• Provide ongoing support for client users through maintenance of reports, queries, and dashboards.
• Partner cross-functionally to analyze root-causes of process errors and deliver faster and better partner care experiences through automation and self service.
• Perform data analysis and profiling utilizing either established or custom tooling/infrastructure as needed.

Skills

Coding

Data pipeline design

Data modeling

Exploratory queries

Geospatial analysis

Teammate collaboration

Education

Bachelor's degree or equivalent practical experience

Tools

ArcGIS

FME

Flume

DataFlow

Spark

Job description

corporate_fare Google place Mountain View, CA, USA

Early

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

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• Bachelor's degree or equivalent practical experience.
• 1 year of experience coding in one or more programming languages.
• 1 year 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 working with data models by performing exploratory queries and scripts.
• Experience in Geographic Information Systems (GIS), including Esri software (ArcGIS) or FME for spatial data integration and analysis.

Preferred qualifications:

• Master's degree in Geospatial Sciences, or a related field.
• Experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
• Experience developing project plans and delivering projects on time within budget and scope.
• Experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.

About the job

As The Data Engineer, Geo Operations, you will execute full-cycle processing pipelines of complex data, within the scope of a larger project with guidance from manager, team lead, or colleagues, within bounded time. You will have an additional focus on managing the team's Cloud infrastructure and the industry-standard geospatial platforms deployed within it.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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

About the job

As The Data Engineer, Geo Operations, you will execute full-cycle processing pipelines of complex data, within the scope of a larger project with guidance from manager, team lead, or colleagues, within bounded time. You will have an additional focus on managing the team's Cloud infrastructure and the industry-standard geospatial platforms deployed within it.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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

US: $106000 - $150000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Implement business infrastructure and solutions to build and scale common frameworks for use by Third-Party Developer Operations (3PDO) Data Engineers and Operations team members. Partner with data providers and consumers to establish new data pipelines.
• Develop and maintain data models, pipelines, and exchange formats to assist in the delivery, visualization, and analysis of geospatial data, with guidance.
• Provide ongoing support for client users through maintenance of reports, queries, and dashboards.
• Partner cross-functionally to analyze root-causes of process errors and deliver faster and better partner care experiences through automation and self service.
• Perform data analysis and profiling utilizing either established or custom tooling/infrastructure as needed.

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.

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.