{"id":2074520,"url":"https://alion.io/job/visa-sr-data-engineer-4","title":"Sr. Data Engineer","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":139,"ghost_share":0,"stale_share":0.583,"repost_share":0.029,"time_to_fill_p50_days":26,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":132000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Windsurf","optional":false},{"name":"A2A","optional":true},{"name":"AgentOps","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Context Engineering","optional":true},{"name":"CrewAI","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLMOps","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-08T08:30:54Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T02:45:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nVisa 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.\nAt 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.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nJob Summary\nThe Senior Data Engineer will design, develop, and operate scalable data and software platforms that enable intelligent digital experiences and AI-powered solutions. The successful candidate will collaborate with product managers, architects, software engineers, data scientists, cybersecurity partners, and business stakeholders to identify requirements and deliver secure, reliable, and production-ready capabilities.\nThe role requires strong data and software engineering fundamentals, combined with practical experience applying Generative AI and agentic technologies to enterprise use cases. The Senior Data Engineer will create and document technical designs, evaluate architectures and technology choices, build reusable services and data components, and contribute throughout the development and operational lifecycle.\nThe role also requires modern AI engineering fluency. Candidates should be comfortable using AI-assisted development environments, coding agents, enterprise copilots, and intelligent engineering tools throughout the software development lifecycle. This may include tools and capabilities such as Claude Code, Codex, GitHub Copilot, Copilot Studio Agents, AI-assisted IDE workflows, autonomous coding agents, and enterprise AI platforms.\nKey Responsibilities:\nData Engineering & Platform Development:\nDesign, develop, and maintain scalable data platforms, pipelines, APIs, integrations, and backend services supporting Digital Marketing & Engagement solutions.\nBuild and operate secure, resilient, and observable systems supporting real-time, streaming, and batch processing workloads.\nDevelop reusable frameworks, services, and technical accelerators that improve platform capabilities, engineering efficiency, and scalability.\nCollaborate with product, engineering, architecture, and business stakeholders to deliver high-quality technical solutions.\nGenerative AI & Agentic Solutions:\nBuild and integrate GenAI-powered applications, AI agents, and intelligent workflows that drive automation, personalization, insight generation, and productivity improvements.\nImplement agentic architectures utilizing retrieval, tool calling, workflow orchestration, memory, and human-in-the-loop patterns.\nDevelop integrations with enterprise systems, APIs, data sources, and AI platforms using modern protocols and interoperability standards such as MCP.\nEvaluate and continuously improve AI solution quality, reliability, safety, and effectiveness through testing, monitoring, and feedback mechanisms.\nResponsible AI, Governance & Optimization:\nDesign and implement guardrails, governance controls, and security mechanisms for AI-powered applications and agents.\nEstablish controls to mitigate risks such as prompt injection, unauthorized data access, unsafe tool usage, hallucinations, and policy violations.\nOptimize token usage, model selection, latency, throughput, and operational costs while maintaining solution quality and user experience.\nImplement monitoring, observability, telemetry, and evaluation frameworks to support enterprise-grade AI operations.\nAI-Assisted Engineering & Innovation:\nLeverage AI-assisted development tools, coding agents, and intelligent engineering platforms throughout the software development lifecycle.\nValidate AI-generated artifacts to ensure correctness, maintainability, security, compliance, and production readiness.\nDrive adoption of modern engineering practices utilizing autonomous coding, automated testing, AI-assisted troubleshooting, and intelligent software delivery workflows.\nStay current with emerging technologies, frameworks, and industry trends in data engineering, Generative AI, and agentic systems.\nVisa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\nCore Engineering:\n2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.\nStrong programming skills in Java, Python, or similar languages.\nExperience building scalable data platforms, APIs, microservices, and cloud-native applications.\nExperience with distributed systems, event-driven architectures, and streaming technologies such as Kafka.\nExperience with CI/CD, automated testing, observability, and production support.\nStrong understanding of data engineering, integration, governance, and platform architecture.\nAI Engineering:\nExperience building or integrating Generative AI and LLM-powered applications.\nExperience with Retrieval-Augmented Generation (RAG), vector search, embeddings, semantic retrieval, and context management.\nUnderstanding of agentic AI concepts, tool calling, workflow orchestration, and AI application design patterns.\nExperience implementing AI guardrails, governance, security controls, and responsible AI practices.\nExperience evaluating and optimizing AI solution quality, latency, token consumption, and cost.\nAI-Assisted Development:\nExperience using AI-assisted development platforms and coding agents such as GitHub Copilot, Copilot Agents, Claude Code, Cursor, Windsurf, or equivalent tools.\nExperience applying AI-assisted workflows for design, development, testing, debugging, code review, and documentation.\nStrong analytical, problem-solving, and collaboration skills.\nPreferred Qualifications:\n3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).\nExperience with LangChain, LangGraph, Semantic Kernel, Spring AI, CrewAI, AutoGen, or equivalent AI frameworks.\nExperience with Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and agent interoperability standards.\nExperience with AgentOps, LLMOps, or AI platform engineering practices.\nExperience with vector databases, knowledge graphs, enterprise search, and context engineering.\nExperience with model evaluation frameworks, benchmarking, and AI observability.\nExperience building AI and data solutions on Azure, AWS, or Google Cloud.\nExperience in Digital Marketing, Customer Engagement, Personalization, or MarTech platforms.\nExperience mentoring engineers and influencing technical direction across teams.\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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