Data Engineer, Go-to-Market

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 1 year of experience in designing data pipelines (extract transform and load) and model data, for synch and asynch system integration and implementation.
• 1 year of experience in coding with one or more programming languages (e.g., Python, Java, C/C++).
• 1 year of experience in analyzing data, database querying (e.g., SQL), and creating dashboards/reports.

Preferred qualifications:

• Master’s degree in Engineering, Computer Science, or a related field.
• 1 year of experience partnering with stakeholders (e.g., users, partners, customers).
• 1 year of experience developing project plans and delivering projects on time within budget and scope.
• Experience with business pipelines or business effectiveness.
• Experience with statistical analysis and modeling.

The Go-to-Market Operations team ensures Google's Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are problem-solving with a pragmatic sense of how to get things done.

In this role, you will work in business problem-solving and lead database scripts in the weekly executive leadership meetings. You will lead the measurement and monitoring of the Google Ads business by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing analysis to deliver insights and opportunities. You will work cross-functionally with Global Product Leads, Go-to-Market, Business, etc.The US base salary range for this full-time position is $97,500-$143,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Motivate Google Ads adoption by developing shareable business tools, dashboards, data, and programs.
• Partner with cross-functional teams like Global Product Leads, Product Management, Go-to-Market (GTM), and other teams to synthesize advertiser data and conduct analysis to deliver insights and recommendations for product and business leadership.
• Define and prioritize Key Performance Indicators (KPIs) to motivate key global initiatives that will be used by regions, countries, and business pods in all business channels.
• Work with engineering teams to create data pipelines and reports to provide insights and business recommendations.
• Develop an understanding of Google data structures and metrics, advocating for changes where needed.