Data Engineer, Google Customer Solutions
corporatefare_ Google place New York, NY, USA; Mountain View, CA, USA; +2 more; +1 more
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XApplicants 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; Mountain View, CA, USA; San Francisco, CA, USA .
Minimum qualifications:
Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++).
3 years of experience designing data pipelines (ETL) and model data, for synch and asynch system integration and implementation.
3 years of experience analyzing data, database query (e.g., SQL), and creating dashboards/reports.
Preferred qualifications:
Master's degree in Engineering or Computer Science or related field, or equivalent practical experience.
Experience working in a data science environment, creating feature stores and supporting feature engineering and model automation needs.
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.
Ability to analyze data sets and convert them into information that drives business decisions.
About the job
Google Customer Solutions (GCS) Data Science is harnessing the power of machine learning and artificial intelligence to build solutions that enable Small and Medium Businesses Ads Sales teams (Google Customer Solutions) 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 Artificial Intelligence as a cornerstone for growth which will empower GCS to grow in an increasingly engaged market and unlock new opportunities for success.
As a Data Engineer, you will take on big data issues in an agile way. In this role, you will use an investigative, data-driven approach to drive a deep 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'd 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 $124,000-$178,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
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) that tell a story 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'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
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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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
