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 coding with one or more programming languages (e.g., Python, Java, C/C ).
• 1 year of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
• 1 year of experience designing data pipelines (ETL) and model data, for synch and asynch system integration and implementation.

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 statistical analysis and modeling.
• Experience with sales pipelines or sales effectiveness.

About the job

The Product Data Warehouse team within Go-to-Market tracks adoption of Ads and measurement products and features. This is used to generate lead lists, analyze the value of various features, set priorities for sales teams, and to help influence the direction of Ads products. The goal is to organize and produce data that's useful to sales teams, and widely accessible.

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 .

Responsibilities

• Support performance management data used to track seller achievement against goals, support incentive programs with advertisers and agencies, and manage global and regional OKRs.
• Support a team of data engineers and business intelligence generalists by contributing to automation, monitoring, and standards design.
• Contribute to efforts to reduce latency in reporting and surface more of the team's work in Google's sales CRM.
• Manage special projects as assigned.