Data Engineer, Data Science, Google Customer Solut...

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.
  
  
  

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 .