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Google

Staff Software Engineer, DevIntel Data Warehouse

Google

Published 14 May 2026
Seattle, WA, USA& Other locations
207K - 300K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
Python
Kotlin
GO
SQL

Key skills

AI
Data Analysis
NLP
Information Retrieval
Computer Science
Software Design
Data Processing
Data Structures
System Design
Technical Leadership
Full Stack
Testing
Architecture
ETL
PhD
Search
Storage
Security
UI
Infrastructure

Tools, Libraries and Frameworks

Description

The role involves providing technical leadership on projects and coaching a distributed team of engineers. The individual will facilitate alignment across teams regarding goals, outcomes, and timelines while managing project priorities and deliverables. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. The position requires owning outcomes, making decisions, and solving ambiguous problems. The engineer will influence stakeholders and provide expertise within the domain.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience, with a Master's degree or PhD preferred. The role requires 8 years of programming experience in C++, Java, Python, Kotlin, or Go, along with 5 years of experience in testing and launching software products. Applicants need 3 years of experience in software design and architecture, as well as proficiency in data analysis, SQL, and ETL processes. Preferred qualifications include experience with data structures, algorithms, technical leadership, and data warehouse design.

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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