AI Data Engineer I, Professional Services, Google Cloud
Austin, TX, USA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,216 more — $151,216 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $151,216 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- - 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.
Responsibilities
- 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.
- Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Requirements
- 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.
Nice to have
- Google Cloud Platform (GCP) Professional Data Engineer Certification.
- Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Google Cloud accelerates every organization's ability to digitally transform its business and industry.
Skills
- Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Compensation
- $130k-$187k
Company info
- 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 a Data Engineer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform.
- Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.