Jobs in the United States

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Added 1 day ago
Lead Data Scientist
S&P Global
New York, NY
…responsible for leading the design and development of custom machine learning, Generative AI (GAI), Natural Language Processing (NLP), and Large Language Models (LLMs) for both batch and…
Added 1 day ago
Lead Data Scientist
STANDARD & POOR'S FINANCIAL SERVICE
NY
…responsible for leading the design and development of custom machine learning, Generative AI (GAI), Natural Language Processing (NLP), and Large Language Models (LLMs) for both batch and…
Added 1 day ago
Splunk Engineer
SpaceX
Bastrop, TX · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 1 day ago
Splunk Engineer
SpaceX
Washington, DC · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 1 day ago
Splunk Engineer
SpaceX
Starbase, TX · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 1 day ago
Splunk Engineer
SpaceX
Cape Canaveral, FL · Redmond, WA
Experience applying Splunk Machine Learning Toolkit (MLTK) or similar for anomaly detection in operational or security data.
Added 1 day ago
Staff Software Engineer, Salesforce
DAT
Denver, CO · Portland, OR · Seattle, WA
…billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately,…
Added 1 day ago
Cloud AI Data Engineer II, Professional Services, Google Cloud
Google
Chicago, IL
Experience working with Big Data, information retrieval, data mining, or machine learning.
Added 1 day ago
Physical Designer Engineer, Synthesis/PnR
Rivian
Palo Alto, CA
…You will collaborate with the Foundry Process Engineer, SoC Architect, Microarchitecture, Packaging, Signal Integrity and Power Integrity teams to drive the overall Physical Design aspects,…
Added 1 day ago
Databricks Data Engineer
Deloitte
Boston, MA
Experience supporting analytics or machine learning data pipelines
Added 1 day ago
AI Engineer II
Deloitte
Boston, MA
…feature, and retrieval layer used by artificial intelligence/machine learning (AI/ML) and generative artificial intelligence (GenAI) solutions. You will deliver reproducible datasets and…
Added 2 days ago
Solutions Architect II, Data and AI GTM
Amazon
Mountain View, CA
…AI systems, building generative AI architectures, developing machine learning models, and architecting data…
Added 2 days ago
Sr. Automation & Controls Engineer, PCB (Starlink/Starmind)
SpaceX
Bastrop, TX
Design, develop, and manage automation projects - including initial factory ideation, machine commissioning, proof of rate capability, and eventual hand-off to operational teams
Added 2 days ago
Automation & Controls Engineer, PCB (Starlink/Starmind)
SpaceX
Bastrop, TX
Design, develop, and manage automation projects - including initial factory ideation, machine commissioning, proof of rate capability, and eventual hand-off to operational teams
Added 3 days ago
AI Engineer I, II, III or Senior
Tri-State Generation and Transmission Association, Inc.
Westminster, CO
…production delivery. A domain expert in artificial intelligence, machine learning, and data science, this role partners with business leaders to identify where AI can create the most value,…
Added 3 days ago
Sr. Automation & Controls Engineer, Solar Cell Factory (Starlink)
SpaceX
Bastrop, TX
Design, develop, and manage automation projects - including initial factory ideation, machine commissioning, proof of rate capability, and eventual hand-off to operational teams
Added 3 days ago
Automation & Controls Engineer, Solar Cell Factory (Starlink)
SpaceX
Bastrop, TX
Design, develop, and manage automation projects - including initial factory ideation, machine commissioning, proof of rate capability, and eventual hand-off to operational teams
Added 3 days ago
Senior AI Platform Architect (Teradyne, North Reading)
Teradyne
North Reading, MA
Deep understanding of AI and machine learning concepts, including generative AI, large language models (LLMs), and MLOps.
Added 4 days ago
Platform Engineer II
Upbound Field Support Center Rent A Center Texas LP
Plano, TX
Architect and implement advanced CI/CD pipelines leveraging GitOps principles, progressive delivery, and engineering automation.
Added 4 days ago
Platform Engineer II
Upbound Field Support Center Rent A Center Texas LP
Plano, TX
Architect and implement advanced CI/CD pipelines leveraging GitOps principles, progressive delivery, and engineering automation.
Added 5 days ago
Engineer II - Verification
Microchip - USA
Chandler, AZ
Leverage AI-assisted and machine-learning based automation to improve verification quality, accelerate development and debugging, and reduce verification cycle time.
Added 5 days ago
CL
AIOps Engineer SME NM
Career Listings
Albuquerque, NM
- $190,000 to $218,000 USD / year
…ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident…
Added 5 days ago
CL
AIOps Engineer SME
Career Listings
Ft Belvoir, VA
- $190,000 to $218,000 USD / month
…ServiceNow, and SolarWinds teams.You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident…
Added 5 days ago
Software Architect
inventium.io LLC
Springfield, VA
…Emerging Technology Solutions, DevSecOps, Cloud Migration, Machine Learning, System Modernization, and Technology…
Added 5 days ago
Senior Security Architect
LEIDOS, INC.
Bethesda, MD
…leverage cloud-based computing, artificial intelligence (Al), machine learning (ML), and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and…

Google

Cloud AI Data Engineer II, Professional Services, Google Cloud

Chicago, IL, United States

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Job details

Experience: 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Posting language: English
Posted: Oct 21, 2026

Original job description

Cloud AI Data Engineer II, Professional Services, Google Cloud

Share Cloud AI Data Engineer II, Professional Services, Google Cloud

corporate_fare Google place Austin, TX, USA; Atlanta, GA, USA; +4 more; +3 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Cloud AI Data Engineer II, Professional Services, Google Cloud

info_outline

XThe application window will be open until at least November 3rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In 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 (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Seattle, WA, USA .

Minimum qualifications:

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
Experience with database administration techniques or data engineering, as well as writing software in Java, Python, or SQL.

Preferred qualifications:

Google Cloud Platform (GCP) Professional Data Engineer Certification.
Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience working with Big Data, information retrieval, data mining, or machine learning.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Experience building machine learning solutions and working with technical customers.
Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g., ADK), tool and function calling, RAG, and prompt/context engineering.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As an AI Data Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you will collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $156000 - $226000 (USD) + 15% bonus target + equity + benefits

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

Responsibilities

Act as a trusted technical advisor to customers and solve complex Big Data challenges.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities.
Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.

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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More about this job

Skills

Google Cloud
Computer science
Process data
Apache Spark
Troubleshooting
Sales
Database administration
Data engineering
Oracle Java
Python
SQL
Data warehouse
Reporting
Data mining
Machine learning
Presentation skills
Recruitment

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