Data Engineer, Google Maps at Google
Mountain View, California, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

178000.0

Posted On

29 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Intelligence Tools, Data Infrastructure, Spark, Tableau, Power Bi, Project Plans, Machine Learning, Data Models, Programming Languages

Industry

Information Technology/IT

Description

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree or equivalent practical experience.
  • 3 years of experience coding in one or more programming languages.
  • 3 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
  • 3 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., DataFlow, Spark, etc.).

PREFERRED QUALIFICATIONS:

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

How To Apply:

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Responsibilities
  • Design and build data processing systems with a focus on security, compliance, scalability, efficiency, reliability, and portability.
  • Create or consult in creating data visualizations using Business Intelligence (BI) tools (e.g., data studio, Tableau, etc.).
  • Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, and interpretation 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.
    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
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