Staff Data Engineer, Applied AI, Google Cloud

Job description

Staff Data Engineer, Applied AI, Google Cloud

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Kirkland, WA, USA; +2 more; +1 more

**Advanced**

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

_info_outline_

XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA** .

**Minimum qualifications:**

+ Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
+ 10 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
+ Experience writing software in Java, C++, Python, Go, or JavaScript.
+ Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Business Services teams.

**Preferred qualifications:**

+ Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
+ Experience in technical consulting.
+ Experience working with Big Data, information retrieval, data mining, or machine learning.
+ Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
+ Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
+ Experience with AI to drive automation for data pipelines and data quality.

**About the job**
Are you ready to build the engine that powers enterprise AI?

The Applied AI team is on a mission to build and deploy sophisticated AI agents for a various range of enterprise customers, and we are searching for a visionary Staff Data Engineer to join our agile and impactful team.

Our organization has historically not had a dedicated data function, presenting a rare and exciting greenfield opportunity to build one entirely from scratch.

This is your chance to operate in a true 0-to-1 startup environment, where your experience will lay the groundwork for our entire data strategy.

In this role, you will design and build our data infrastructure from the ground up.

You will be instrumental in architecting and implementing the core data pipelines and instrumentation that will empower our data scientists and UX researchers.

Your work will be the bedrock upon which they derive insights, inform critical product strategy, and drive constant innovation across our AI agent offerings.

You will grow in a changing environments and will be passionate about exceptional AI.

You will grow in ambiguity, possesses a strong product mindset, and will have a proven track record of working with advanced AI technologies.

You will push boundaries, will rapidly prototype new ideas, to contribute to a team that's relentlessly driven to exceed industry expectations.

You will play a critical role in shaping and scaling our team while making a tangible impact on real-world applications.The US base salary range for this full-time position is $180,000-$267,000 + 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.

Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

**Responsibilities**

+ Act as a trusted technical advisor to customers and solve complex Big Data issues.
+ Design, implement, test, optimize, and troubleshoot analytics and reporting solutions for business performance monitoring.
+ Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meet constantly evolving requirements.
+ Work closely with data scientists and UX researchers to productionize data pipelines and reporting prototypes, and various statistical and machine learning models.
+ Write and review technical documents, including design, requirements, and process documentation.

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.
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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