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Google

Data Engineer, AI Solutions, Global Affairs

Google

Published 16 May 2026
New York, NY, USA& Other locations
130K - 187K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

SQL
Python

Key skills

Data Engineer
Data Infrastructure
Data Science
Computer Science
API
UX
Business Intelligence
LLMs
AI
Mathematics
Database
ETL
TroubleShooting
Operations
RAG
Machine Learning
Interfaces

Tools, Libraries and Frameworks

Description

The role involves partnering with data science, analyst, and engineering teams to build and scale durable data products. The individual will translate complex business requirements into technical solutions by architecting data pipelines and infrastructure. Responsibilities include designing, building, and deploying scalable systems that automate processes and improve user experiences. The position focuses on leveraging machine learning and artificial intelligence ecosystems to facilitate strategic decision-making. Additionally, the role supports the development of data-driven web applications that connect users to large language model interfaces.

Required Qualifications and Skills

Candidates must possess a bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. A minimum of three years of experience in data engineering, database querying, and developing ETL pipelines using Python is required. Applicants must also have three years of experience working with data infrastructure and models through exploratory queries. Experience developing data pipelines for legal, compliance, or government sectors is necessary.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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