Staff Data Engineer-1

Job Summary

Staff Data Engineers are expert problem‑solvers, builders, and technical leaders who design and evolve platforms powering next‑generation AI and data‑driven applications. In this role, you will work extensively hands‑on with code, data, and modern technologies to deliver secure, scalable, and high‑performance systems that drive business outcomes. You will play a key role in developing GenAI‑powered applications and platforms, including integrating with leading large language models such as OpenAI and Anthropic, and enabling their safe, scalable, and efficient use in enterprise environments.

You will independently understand data ecosystems, system design patterns, and security, privacy, and governance requirements, applying this knowledge to design robust and production‑ready solutions. You will translate complex business requirements into scalable architectures and guide implementation across the team. This role requires strong expertise across backend engineering, data platforms, microservices, and real‑time distributed systems, along with the ability to influence engineering practices and drive high standards across teams. All roles require digital fluency, including hands‑on experience or familiarity with Generative AI tools (e.g., Claude, Code, Cline, Codex, and GitHub Copilot) to enhance developer productivity and enable intelligent engineering workflows.

Key Responsibilities

• Act as a key technical contributor in stakeholder discussions to clarify requirements and drive architecture and design decisions
• Design and deliver scalable, resilient platforms and services supporting AI/GenAI applications and data‑driven systems
• Translate functional requirements into end‑to‑end system architectures, leveraging established design patterns
• Build and integrate applications with large language model providers such as OpenAI and Anthropic
• Design and implement GenAI workflows, including prompt orchestration, context handling, and system integration layers
• Lead development of microservices, APIs, and platform components supporting distributed systems
• Build and optimize real‑time data streaming and event‑driven architectures for high‑throughput applications
• Implement extensible, maintainable, and reusable code following best practices, security standards, and coding guidelines
• Take end‑to‑end ownership of data products, platform components, or services, including reliability, scalability, and maintainability
• Drive code reviews, mentor engineers, and guide teams on system design, coding practices, and performance optimization
• Build tools and automation to improve data processing, deployment, monitoring, and platform operations
• Ensure adherence to data management principles, governance, security, and compliance requirements
• Identify and address technical debt, and continuously improve system design and performance
• Lead troubleshooting of complex issues across distributed systems and drive root cause resolution
• Support platform upgrades, scaling initiatives, and security remediation activities

Visa requires at least 3 days in office; expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 5+ years of relevant work experience with a Bachelor's degree, or 2+ years with an advanced degree, or 8+ years of relevant work experience
• Strong core programming skills in Java, Python, or similar languages, with ability to write scalable, maintainable, and high‑quality code
• Experience designing and implementing data pipelines, distributed systems, and large‑scale data processing jobs
• Experience building and operating microservices‑based architectures and APIs
• Experience working with real‑time data streaming or event‑driven systems
• Experience developing unit, integration, and end‑to‑end tests with a strong focus on automation
• Experience building and maintaining CI/CD pipelines and deploying applications using containerization and orchestration tools
• Experience working with cloud platforms such as AWS, including building and operating scalable, cloud‑native applications
• Experience monitoring applications in production and troubleshooting issues using observability and logging tools
• Experience integrating AI/ML or Generative AI services into applications, including working with LLM‑based systems
• Experience collecting and analyzing metrics to drive system optimization, performance, and reliability improvements
• Experience collaborating with cross‑functional stakeholders to clarify requirements and deliver robust technical solutions
• Experience applying secure coding practices and complying with enterprise security and regulatory standards

Preferred Qualifications:

• 6+ years of work experience with a Bachelor’s degree or 4+ years with an advanced degree
• Hands‑on experience building applications using LLM providers such as OpenAI, Anthropic, or similar platforms
• Experience designing and implementing GenAI workflows, including prompt design, context management, and orchestration patterns
• Experience with data and distributed technologies (Kafka)
• Experience building and operating high‑throughput, low‑latency real‑time systems
• Experience working with advanced AWS services for large‑scale systems
• Strong experience in building, deploying, and operating production‑grade systems at scale
• Experience mentoring engineers and driving engineering best practices across teams
• Ability to write clear, concise technical documentation and architecture designs
• Experience staying current with emerging trends in AI, GenAI, cloud platforms, and distributed systems, and applying them to real‑world problems

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.