Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Data Engineer, Operations and Infrastructure Data Science

Google

Published 16 May 2026
Sunnyvale, CA, USA
106K - 151K USD Annual
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

Java
C++
Python
GO
JavaScript

Key skills

Data Engineer
Big Data
Data Mining
Information Retrieval
Machine Learning
Data Science
Computer Science
Data Processing
Data Migration
Operations
Infrastructure
Mathematics
MapReduce
Database
TroubleShooting
ETL
ELT
NOSQL
Cloud

Tools, Libraries and Frameworks

Vertex AI
GCP
Hive
MongoDB
Hadoop
Tensorflow

Description

The role involves designing and managing data pipelines to support Vertex AI operations while ensuring scalability and reliability. The individual will build and refine automated agents to monitor system health and streamline operational workflows. Responsibilities include creating dashboards to provide visibility into efficiency metrics for technical and finance stakeholders. The position requires partnering with data science and finance teams to translate efficiency goals into actionable data models. Additionally, the role involves collaborating with finance clients to align technical metrics with budgetary and resource planning requirements.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Computer Science, Mathematics, or a related field, or have equivalent practical experience. At least one year of experience with data processing software and algorithms is required. Applicants must demonstrate proficiency in database administration or data engineering, along with software development skills in specific programming languages. Furthermore, the role requires experience in managing client-facing projects, troubleshooting technical issues, and collaborating with engineering and sales teams.

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.

Share

Share this job

Related jobs

Vertex AI
Computer Science
Integrations
Test Engineer
Taipei, Taiwan
Full Time
Vertex AI
Computer Science
UX
Product Design
Thailand
Remote
AI
NLP
Information Retrieval
NLU
Zurich, Switzerland
Full Time