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Data Engineer, Data Science, Google Customer Solutions

GoogleNew York, NY, USA; Mountain View, CA, USA; +2 more; +1 more
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 3 years of experience coding in one or more object oriented programming languages (Java, C++, Python, etc.).
  • 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).
  • Experience working in a data science environment, creating feature stores and supporting feature engineering and model automation needs.

Preferred qualifications:

  • Experience working with cloud platforms, big data tools and distributed computing.
  • Experience with creation and usage of graph and other non-relational databases.
  • Ability to easily break down ambiguous problems and propose impactful data modeling designs.
  • Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.

About the job

Google Customer Solutions Data Science is harnessing the power of machine learning and artificial intelligence to build solutions that enable Small and Medium Businesses (SMB) Ads Sales teams to grow smarter and faster. AI-driven tools and systems can help automate repetitive tasks, improve decision-making processes, and unlock valuable insights from large volumes of data. We are Embracing AI as a strategic cornerstone for growth which will empower Google Customer Solutions (GCS) to grow in an increasingly engaged market and unlock new opportunities for success.

As a Data Engineer, you will use an investigative, data-driven approach to drive an understanding of our fast changing business. You will build data pipelines and tools that enable data scientists, machine learning operations engineers, and analysts. Through feature engineering and wrangling, you will create automated data extracts and production ready machine learning feeds that provide scaled insights for both the Data Science team and their users.

Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.

The US base salary range for this full-time position is $118,000-$174,000 + 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

  • Build data pipelines, reports, best practices and frameworks that enable program managers, analysts and other stakeholders across the organization.
  • Recognize and adopt best practices in developing pipelines, investigative insights including data integrity, test design, analysis, validation and documentation.
  • Design and develop scalable and actionable solutions (e.g., dashboards, automated collateral, web applications) and provide insights to help our advertisers grow.
  • Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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