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Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Pay
USD 207,000–300,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Architect and build batch and real-time data pipelines for experimentation and analytics

  • Own data quality, reliability and observability, including SLAs and SLOs

  • Mentor engineers through design reviews, code reviews and feedback

  • Drive cross-functional engineering initiatives spanning multiple teams

From the employer’s posting
Architect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops.
Own data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets.
Mentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback.
Drive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs.

What you’ll bring

All qualifications

Core experience

  • Bachelor's in Computer Science or related field, or equivalent practical experience
  • 8 years of experience in software development
  • Experience developing and supporting large-scale data pipelines
  • Experience with distributed data processing and workflow orchestration tools
Qualification wording
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
8 years of experience in software development.
Experience developing, debugging, and supporting large-scale data pipelines.
Experience with distributed data processing frameworks and workflow orchestration tools.
Education & alternatives
**Minimum qualifications:** + Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. + 8 years of experience in software development.
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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

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$207K–$300K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 10,805 similar postings that came down. Coming down is not always a hire.

Google is hiring

294 open jobs

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

  • Hiring is picking up
  • Takes jobs down quickly
  • 14% of open jobs were reposted
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.

  • C++
  • BigQuery
  • Snowflake
  • Spark
  • Airflow
Where the posting names them
+ Experience with distributed data processing frameworks and workflow orchestration tools. + Experience in Go/C++. + Experience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer.
**Preferred qualifications:** + Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure. + Experience developing, debugging, and supporting large-scale data pipelines.

Your next step

Complete your application on www.google.com. The employer’s form will show what is required.

Already applied? Track this application

Has Google posted this job before?

Yes. We’ve followed 3 other Staff Software Engineer, Gemini App, Data Engineering, DeepMind jobs there since November 2026. All 3 are still up.

  1. Mountain ViewStill up after 0 days, first seen Nov 4
  2. SeattleStill up after 0 days, first seen Nov 4
  3. IrvineStill up after 0 days, first seen Nov 4
  4. This jobUp 0 days so far, first seen Nov 4

Large employers often post one title for several teams, so these can be separate openings.

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

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Staff Software Engineer, Gemini App, Data Engineering, DeepMind Share Staff Software Engineer, Gemini App, Data Engineering, DeepMind _corporate_fare_ DeepMind _place_ Mountain View, CA, USA; New York, NY, USA; +3 more; +2 more Share Staff Software Engineer, Gemini App, Data Engineering, DeepMind _info_outline_ XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County 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: **Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; Irvine, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or related technical field, or equivalent practical experience. + 8 years of experience in software development. **Preferred qualifications:** + Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure. + Experience developing, debugging, and supporting large-scale data pipelines. + Experience with distributed data processing frameworks and workflow orchestration tools. + Experience in Go/C++. + Experience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer. + Ability to address daily business data requirements, ensure that development obstacles are cleared to maintain the Gemini App's changing growth. **About the job** As a part of the Gemini Apps Data Engineering team, you will architect and operate the data pipelines that deliver critical telemetry across all Gemini surfaces. You will combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformative, global product during a time of massive growth! Gemini’s user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale. In this role, you will leverage your experience in building and running scalable systems, and utilize modern data warehouse infrastructure at Google, lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps’s analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Work closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse. + Architect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops. + Own data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets. + Mentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback. + Drive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs. 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. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. 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/OFCCP_EEO_Post.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.
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Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

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