The application window will be open until at least November 26, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
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, Business, or a related field.
- 1 year of experience partnering with stakeholders (e.g., users, partners, customers).
- Experience with data visualizations and business intelligence tools.
- Experience with statistical analysis and modeling.
- Experience in an ad sales, ad support, finance, data science, or strategy and operations role.
About The Job
The Go-To-Market Product Data Warehouse team 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. Our goal is to organize and produce data that is thoughtful, useful to sales teams, and widely accessible. You will also find our work in sales analytical leads' database scripts, in the weekly executive leadership meetings, and referenced in Ads annual plans.
As a Data Engineer, you will monitor the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing ad-hoc analysis to derive insights and opportunities. You will work cross-functionally with global product leads, Go-to-Market, sales, etc.
The US base salary range for this full-time position is $102,000-$146,000 + 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.
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
- Drive Ads and measurement feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using F1 query engine, and other tools to support key resources like connect sales.
- Synthesize advertiser data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
- Define and prioritize KPIs to drive key global initiatives that will be used by regions, countries, and sales in all sales channels.
- Be a strategic thought partner to commercial leaders of products like Marketing Mix Modeling (MMM).
- Handle special projects as assigned.
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 .
