Data Engineer, Google Customer Solutions Engineering
Location: Mountain View
Posted on: June 23, 2025
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Job Description:
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. 3 years of experience developing project
plans and delivering projects on time within budget and scope. 3
years of experience partnering with stakeholders (e.g., users,
partners, customer). Experience with JavaScript and web
applications, including front-end frameworks (e.g., Angular, React,
Polymer) or backend web services and microservices on cloud
infrastructure. Familiarity with core web technologies (e.g., HTTP,
TCP/IP, HTML, CSS, XML). Ability to break down ambiguous problems
and generating actionable insights for business decisions. About
the job In this role, you will be at the forefront of innovating
and developing solutions for complex business issues. You will play
a pivotal role in building robust data pipelines and full-stack
software applications that empower engineers, analysts, and other
key stakeholders across the Google Customer Solutions (GCS)
organization. Our fluid business environment demands an agile
approach to data issues, and you will be instrumental in driving
these initiatives forward. 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
sellersand 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. Responsibilities Design, build, deploy,
and enhance elegant, scalable, and modern solutions. This includes
developing dashboards and creating full-stack web applications.
Your work will involve constructing data pipelines, ensuring
reliable backends, and optimizing the performance of existing tools
and services. Collaborate with various stakeholders to identify
pain points and feature gaps, and then devise innovative technical
solutions to bridge these gaps. Identify and implement best
practices, with a focus on data integrity, rigorous test design,
thorough analysis, validation, and comprehensive documentation.
Make significant technical contributions, including writing and
reviewing design documents, developing tests, and contributing to
code (e.g., JavaScript, Python, TypeScript, SQL). Offer
subject-matter expertise, leveraging comprehensive knowledge of
Googles relevant technologies, engineering principles, best
practices, and coding standards.
Keywords: , Santa Clara , Data Engineer, Google Customer Solutions Engineering, IT / Software / Systems , Mountain View, California
