{"id":3062607,"url":"https://alion.io/job/visa-senior-data-engineer-2","title":"Senior 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":0.59,"repost_share":0.036,"time_to_fill_p50_days":32,"computed_at":"2026-10-22T06:10:10Z"}},"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":61000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Copilot","optional":false},{"name":"A2A","optional":true},{"name":"AI Agents","optional":true},{"name":"Anthropic","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"Java","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-22T07:03:17Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-22T15:56:57Z","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\nVisa’s Technology Organization is a community of problem solvers and innovators, reshaping the future of commerce. We operate one of the world’s most advanced payment processing networks, enabling secure, reliable, and scalable transactions across millions of merchants, financial institutions, and consumers globally.\nOur teams build and operate complex distributed systems at massive scale, solving challenges across payment flows, real-time data processing, cybersecurity, and next-generation digital platforms.\nWithin this, Value Added Services (VAS) - Digital Marketing is a key growth area for Visa, focused on building differentiated, data-driven solutions that extend the value of the Visa network beyond payments.\nAbout the Team:\nYou will join a high-performing engineering team building GenAI-powered platforms and applications that enable innovation across Visa’s technology ecosystem.\nThe team focuses on:\nDeveloping intelligent, AI-driven applications powered by large language models\n\nIntegrating generative AI capabilities into enterprise platforms and workflows\n\nBuilding scalable systems that combine AI, data, and distributed architectures\n\nEnabling automation, developer productivity, and intelligent decision-making\n\nWhile these capabilities rely on strong data foundations, the primary focus is on applying AI and generative AI to solve real-world business problems at scale, with enterprise-grade security and reliability.\nJob Summary\nSr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components.\nAll roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.\nKey Responsibilities:\nCollaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.\nReview technical requirements, escalate potential design issues, and create component designs and documentation.\nImplement code, apply coding patterns and best practices, and adhere to security requirements.\nParticipate in code reviews, apply feedback, and take ownership of data products or pipeline components.\nConduct unit testing, coding standards, and security scans; participate in user acceptance testing.\nBuild tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes.\nCreate queries to extract and compile raw data, implement orchestration techniques, and validate data quality.\nEnsure adherence to data management principles, governance, and performance monitoring protocols.\nContribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing.\nAddress routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation.\nVisa requiresat least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.\nQualifications\nBasic Qualifications:\n2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience\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)\nStrong core programming skills in Java, Python, or similar languages\n\nExperience building and operating microservices-based architectures and APIs\n\nExperience working with real-time data streaming or event-driven systems\n\nExperience working with cross-functional teams to clarify requirements and define technical solutions\n\nExperience designing and documenting technical components for data platforms, services, or applications\n\nExperience writing production-grade code and applying coding standards, security practices, and testing methodologies\n\nExperience conducting unit testing and participating in integration or user acceptance testing\n\nExperience building automation tools and frameworks supporting data processing or application workflows\n\nExperience working with data extraction, transformation, and querying techniques across large datasets\n\nExperience ensuring system reliability through data quality validation, monitoring, and performance tuning\n\nExperience troubleshooting and resolving issues in distributed systems, data pipelines, or backend services\n\nExperience supporting production systems, including software upgrades, maintenance, and security remediation\n\nExperience working with Generative AI systems, including integrating large language models into applications\n\nHands-on experience building applications using LLM providers such as OpenAI, Anthropic, or similar platforms\n\nFamiliarity with modern GenAI development practices, including prompt design, context management, and orchestration patterns\n\nExperience with backend platforms, APIs, and microservices architectures supporting AI-driven applications\n\nExperience with streaming frameworks (Kafka)\n\nExperience presenting technical designs and solutions to engineering peers\n\nExperience staying current with emerging trends in AI, GenAI, and distributed systems, and applying them to real-world use cases\n\nExperience participating in code reviews and mentoring engineers on best practices\n\nStrong problem-solving skills and ability to work in fast-paced, ambiguous environments\n\nAI Engineering:\n\nFamiliarity with concepts such as:\nPrompt engineering\n\nSystem prompts and instruction design\n\nRetrieval-augmented generation\n\nVector search\n\nEmbeddings\n\nTool calling\n\nFunction orchestration\n\nContext management\n\nAgent memory\n\nEvaluation datasets\n\nModel benchmarking\n\nFeedback loops\n\nA2A and MCP Protocols\n\nExperience with agentic AI frameworks or tools such as:\nLangChain\n\nLangGraph\n\nModel Context Protocol Servers\n\nSpring AI\n\nOpenAI and Anthropic SDKs\n\nVector databases\n\nKnowledge graphs\n\nModel evaluation frameworks\n\nAbility to evaluate AI outputs objectively and improve quality, safety, reliability, latency, and cost.\n\nExperience using commercial or open-source AI models and APIs.\n\nDemonstrated ability to use AI tools in everyday work for coding, debugging, research, documentation, testing, or productivity improvement\n\nSoftware Engineering:\n\nStrong programming ability in one or more languages such as:\nJava\n\nPython\n\nExperience building backend services, APIs, data pipelines, integrations, or cloud-native applications.\n\nFamiliarity with web applications, distributed systems, databases, CI/CD pipelines, logging, monitoring, and automated testing.\n\nAbility to write clean, maintainable, secure, and production-ready code.\n\nExperience participating in design reviews, code reviews, and production troubleshooting.\n\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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