Data Engineer III, Google Maps Imagery Operations

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 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 (DataFlow, Spark, etc.).
• 3 years of experience coding with one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation.
• 3 years of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.

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.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Join Geo's Overhead Imagery Operation team as a Data Engineer and play a key role in how Google visually represents and understands the world. We build and operate massive-scale data pipelines focused on acquiring and ensuring the quality of petabytes of satellite and aerial Overhead Imagery. This imagery is the foundation for Google Maps, Google Earth, and critical initiatives.

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.

The US base salary range for this full-time position is $124,000-$178,000 + 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.

Responsibilities

• Design and build data processing systems with a particular emphasis on security, compliance, scalability, efficiency, reliability, and portability.
  
• 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.
  
• Contribute to the design, and separately develop, test, and maintain scalable and reliable data pipelines for acquiring and processing petabyte-scale satellite and aerial imagery.
• Identify and implement optimizations within the data infrastructure to enhance performance, cost-efficiency, and scalability.