Data Engineer, GCS Data Science

The Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools. As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and reporting tools that enable our data scientists, through feature engineering, automated data extracts and wrangling needs, and scaled insights for both the data science team and our 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $106000 - $151000 (USD) + 15% bonus target + equity + benefits, * Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.

• Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development.
• Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
• Design and develop scalable and actionable solutions (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.

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.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 1 year of experience designing data pipelines (ETL) and model data.
• Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
• Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java)., * Experience working in a data science environment, supporting feature engineering and model automation needs.
• Experience working with big data tools, distributed computing and non-relational databases.
• Structured thinking with 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.

The GCS Data Science team is working on challenging yet interesting problems for the GCS (Google Customer Solutions) division of Global Business Organization (GBO). Our goal is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.