# Data Engineer at Visa

Visa is hiring a Data Engineer in Singapore, Singapore. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/c2ac16e6-203f-44ec-b460-d84c6ab9d090).

AI Level 3, AI centrality 65 out of 100. SG - Singapore.

## Details

- Company: [Visa](https://jobsbylevel.com/companies/visa)
- AI level: AI Level 3 (score 65 out of 100)
- Location: SG - Singapore
- Posted: October 8, 2026
- Apply: https://jobsbylevel.com/go/c2ac16e6-203f-44ec-b460-d84c6ab9d090

## Description

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a majority of their time coding, working hands-on with code, data, and modern tools—including AI-assisted development, cloud services, and automation frameworks—to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including experience leveraging AI-assisted development environments and intelligent engineering tools throughout the software development lifecycle. Candidates should be comfortable utilizing technologies such as Claude Code, Codex, GitHub Copilot, Copilot Agents, AI-assisted IDE workflows, and enterprise AI platforms to improve productivity, quality, and innovation. Key Responsibilities: Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines, integrations, APIs, and platform services supporting Digital Marketing & Engagement solutions. Build and optimize batch, streaming, and event-driven data processing workflows. Develop reusable data assets, data services, and platform capabilities that improve data accessibility, quality, and scalability. Ensure data quality, reliability, governance, security, and operational excellence across platform components. Generative AI & Intelligent Applications Build and integrate AI-powered applications, workflows, and data services leveraging Large Language Models and Generative AI technologies. Implement Retrieval-Augmented Generation (RAG), semantic search, vector retrieval, and knowledge-access patterns to enable intelligent experiences. Develop integrations between AI models, enterprise data sources, APIs, and business applications. Support evaluation, monitoring, and continuous improvement of AI-enabled solutions. AI Governance & Optimization Apply guardrails, governance controls, and responsible AI practices when developing AI-enabled solutions. Implement controls to improve data protection, model safety, content quality, and secure access to enterprise information. Monitor and optimize token consumption, response latency, reliability, and operational costs. Support observability, telemetry, monitoring, and evaluation frameworks for AI workloads. AI-Assisted Engineering & Innovation Utilize AI-assisted development tools and coding agents to improve engineering productivity and software quality. Apply AI-assisted workflows across development, testing, debugging, documentation, and operational support activities. Evaluate emerging technologies, tools, and frameworks within data engineering, Generative AI, and intelligent automation. Contribute to innovation initiatives that improve platform capabilities and developer effectiveness. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications: Bachelor's degree, OR 3+ years of relevant work experience 2 or more years of work experience. Data Engineering: Bachelor's degree, OR 3+ years of relevant work experience.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-at-visa-828f96

Source: https://jobsbylevel.com/jobs/data-engineer-at-visa-828f96

## Cite this page

Level. https://jobsbylevel.com/jobs/data-engineer-at-visa-828f96.

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