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Data Engineer Senior Specialist - WebOps - Web Analytics

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Oversee and review data infrastructure built by Data Engineers

  • Lead design of data solutions and troubleshoot hard problems at scale

  • Create data and visualization solutions with the Cloud Marketing team

  • Act as technical liaison between business and analyst teams

  • Debug and fix data discrepancy issues

From the employer’s posting
oversee and review the development of the data infrastructure that our Data Engineers are creating
design and lead the development of innovative data solutions while troubleshooting challenging problems
partner with the Cloud Marketing team to create data and visualization solutions
You’ll act as a technical liaison between business and analyst teams
Debugging, root causing, communicating and fixing data discrepancy issues

What you’ll bring

All qualifications

Core experience

  • Building and maintaining ETL pipelines on GCP BigQuery
  • Knowledge of OLAP technologies and data warehousing
  • Effective communication and leadership skills
  • Ability to handle multiple projects in a fast-paced environment
Qualification wording
Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery
knowledge in OLAP technologies and data warehousing
Effective communication and leadership skills
Ability to handle multiple projects in a fast-paced environment

Benefits in the posting

Full benefits wording
  • We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
  • We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums
  • Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.
  • Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

From the employer’s posting.

Apply at Alphabet

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1
Employer says posted
Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Alphabet is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
  • GCP
Where the posting names them
Required Skills: - 5+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights. - Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing.
- Supervising the design of new data products and optimizing how they will perform. - Checking in and peer reviewing SQL. - Debugging, root causing, communicating and fixing data discrepancy issues.
- 5+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights. - Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing. - Ability to handle multiple projects in a fast-paced environment.

Your next step

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Has Alphabet posted this job before?

Yes. We’ve followed one other Data Engineer Senior Specialist - WebOps - Web Analytics job there since November 2026. It is still up.

  1. Place not statedStill up after 0 days, first seen Nov 4
  2. This jobUp 0 days so far, first seen Nov 4

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Join Us!

At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!

As part of the Data Engineering team, we ensure our users have access to aligned, accurate and useful business metrics and dimensions that support their operations. We deliver on our mission, and collaborate with our partners to achieve the following:

  • Single-source-of-truth data that is robust, high-quality and trusted

  • Informative visualizations supporting reporting and understanding

  • Automated insights and analyses that enhance decision making at all levels

  • Reporting infrastructure that is stable and scalable

In understanding the user need, we partner directly with Marketing Managers to create & maintain dashboards, resolve bugs and work on feature requests. Where there is a gap between business requirements and available products, we prioritize the need, identify solutions and deliver resulting product initiatives.

 

Position Responsibilities: 

As a Data Engineering Sr. Specialist, you’ll develop the data infrastructure to ensure that Google stakeholders have the product, support, and operations data they need to make crucial business decisions. You’ll partner with our business and enablement teams to create visualization solutions and have the opportunity to design innovative data solutions while solving challenging problems using Google’s large-scale production data infrastructure.

  • As the Sr. Specialist, you’ll be responsible to oversee and review the development of the data infrastructure that our Data Engineers are creating to ensure that our Cloud Marketing teams have the most accurate data they need to make crucial business decisions

  • You’ll act as a subject matter expert and quality auditor for a team of Data Engineers and partner with the Cloud Marketing team to create data and visualization solutions

  • In this role, you'll have the opportunity to design and lead the development of innovative data solutions while troubleshooting challenging problems using Google’s large-scale production data infrastructure

  • You’ll act as a technical liaison between business and analyst teams and supervise the design of new data products and optimize how they will perform

  • Experience implementing and working with Large Language Models (LLMs), including prompt engineering and translating business requirements into technical solutions.

  • Strong technical documentation skills, particularly in writing implementation designs.

  • Proficiency in DevOps/DataOps principles (release management, system stability, error handling) and optimizing data processing and batching patterns.

Required Skills: 

  • 5+ years experience working with advanced SQL: manipulating and managing large datasets to derive insights.

  • Strong Technical expertise in building, troubleshooting and maintaining ETL pipelines on GCP BigQuery, knowledge in OLAP technologies and data warehousing.

  • Ability to handle multiple projects in a fast-paced environment.

  • Effective communication and leadership skills.

  • Excellent problem-solving and analytical skills.

Preferred qualifications:

  • Intermediate to expert proficiency with GCP

  • Building and maintaining relationships with key stakeholders.

  • Identifying and capitalizing on technical improvement and optimization opportunities.

  • Acting as a technical liaison between the business teams and Engineering.

  • Supervising the design of new data products and optimizing how they will perform.

  • Checking in and peer reviewing  SQL.

  • Debugging, root causing, communicating and fixing data discrepancy issues.

Benefits

  • We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage

  • We support your family with gender-neutral baby bonding leave, 26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums

  • Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences

Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.

Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

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

Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at goc-candidate-global@googleoperationscenter.com.

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Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy. Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.

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