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 (DataFlow, Spark, etc.).
  
• Experience working with external technical partnerships teams or in a client facing role.

Preferred qualifications:

• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
  
• Experience working with geospatial data or geographic information systems (ESRI, Safe Software).
• Ability to influence and engage with cross-functional teams and senior stakeholders, driving alignment and achieving results.

About the job

As the Data Engineer, Geo Operations, you will be responsible for leading the technical implementation for Geo partners, focusing on data systems and pipelines. You'll be responsible for designing and managing complex data, and acting as the "voice of the partner" in product feature prioritization discussions. This involves collaborating with internal product and engineering teams, as well as external partners, to increase the efficiency of how we implement Geo products.

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 main focus for our team is building and sustaining robust data pipelines that accelerate vector-based geospatial data product creation and curation. The team's efforts directly address key operational challenges in data processing, tracking, and quality for the goal of delivering improved pipeline scale and reliability, reduced manual effort, and faster data delivery and publishing to Google Maps. We employ data engineering best practices in leveraging Google internal and Cloud infrastructure for building and maintaining Extract, Transform and Load (ETL) capabilities. We also deploy and manage industry-standard geospatial infrastructure and tooling, integrating such with Google-based technologies. Finally, we serve as an internal incubator to explore and test promising AI applications that can further enhance our capabilities.

Responsibilities

• Drive the design, development, and scaling of robust data pipelines and common frameworks for data engineers and operations teams.
• Build and maintain data models, pipelines, and exchange formats to support the delivery, visualization, and analysis of geospatial data.
• Partner with cross-functional and operations teams to profile data, understand requirements, and publish data that enables data-driven decision-making.
• Support client users by maintaining reports, queries, and dashboards while planning and sizing system migrations and dependency changes.
• Support product launches by mitigating operational risks, optimizing workflows, and improving partner satisfaction through automation and self-service tools.