Data Engineer III, Google Customer Solutions

This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Redwood City, CA, USA; Ann Arbor, MI, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 3 years of experience designing data models, data warehouses, and using SQL and NoSQL database management systems along with data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Airflow).

• 3 years of experience in one or more object oriented programming languages (Java, C++, or Python, etc.).

Preferred qualifications:

• Master’s degree in Business, Statistics, Mathematics, Economics, Engineering/Applied Science, or a related field.

• 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.

• 5 years of experience in a customer-facing role.

• 3 years of experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.

• 3 years of experience in distributed data processing and Unix or GNU/Linux systems.

• 3 years of experience working with machine learning models.

About the job When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the “human face” of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.

The US base salary range for this full-time position is $115,000-$169,000 + 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 for new hire 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 .

Responsibilities

• Design, develop and support data pipelines, warehouses, and reporting systems to solve business operations, users, and product problems.

• Create extract, transform, and load (ETLs) and reporting systems for new data using a variety of traditional as well as large-scale distributed data systems.

• Collaborate and influence stakeholders and support engineers to ensure our data infrastructure meets constantly evolving requirements.

• Write and review technical documents, including design, development, and revision documents.

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 and If you have a disability or special need that requires accommodation, please let us know by completing our .