AI and Data Engineer, Google Cloud

Benefits

Parental leave

18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.

Non-birth-parent leave

18 weeks Source: https://blog.google/company-news/outreach-and-initiatives/diversity/international-womens-day-2022/. source Last checked May 7, 2026.

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI and Data Engineer, Google Cloud Bengaluru, Karnataka, India The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses grow. 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. The Central Tooling and Analytics team is the operational backbone of Google Cloud's efficiency. We specialize in engineering high-impact tools and streamlined workflows designed to reduce manual toil and improve decision making. At the core of our tooling and analytics strategy, the Central Data Engineering team aims to provide high-quality signals required to power agentic workflows and AI-driven automation across the organization curating data across many critical pillars like programs, products and people. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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. Own the foundational design of the WISE data layer. Architect the environment to be AI-native, ensuring it supports both high-performance analytics and the low-latency requirements of Large Language Model (LLM) based agents. Design and implement sophisticated data

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