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Staff Software Engineer - Data Engineering

Visa

Salary not specified
Aug 29, 2025
Austin, TX, USA
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Visa’s Technology Organization is looking for Software Engineers to solve complex challenges on a global scale, focusing on new payment flows, business and data solutions, cyber security, and B2C platforms. The goal is to invent, design, build, and test software products that reach a global customer base and shape the digital future of monetary transactions.

Requirements

  • Experience in a programming language like Python or Java and scripting experience in shell preferred
  • Solid understanding and preferably experience working experience with AI/ML technologies in building and supporting scalable, reliable data solutions and AI/machine learning powered systems using modern big data and AI/ML technologies.
  • Relational database and strong SQL development experience required, Experience with DB2 preferred.
  • Experience with Big data technologies Hadoop, Spark and No-SQL database like Cassandra preferred.
  • Experience with source control GIT or similar and in deployment and distribution lifecycle with automated and scalable CI/CD tools, including Jenkins, Ansible.
  • Experience with containerization technologies and orchestration tools (Docker, Kubernetes)
  • Hands-on experience in Generative AI.

Responsibilities

  • Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
  • Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
  • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
  • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.
  • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
  • Design, develop and implement ETL solutions for data processing, reports and billing based on requirements and Technology initiatives.
  • Develop scripts, No SQL and SQL for detailed analysis and solutions in data processing and AI/ML models creation and tuning.

Other

  • Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale.
  • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
  • Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions
  • Builder: Experience building and deploying modern services and web applications with quality and scalability
  • Learner: Constant drive to learn cloud, data and AI/ML technologies such as Kubernetes, Docker, Data Science, Machine Learning etc.