Senior Data Engineer - Scale Data Platforms (Hybrid)

Visa; Bellevue (WA); Hybrid; USD 152,000 - 244,000; Full time

Job summary

Visa in the United States is seeking a Senior Data Platform Engineer to design and evolve a scalable data platform, ensuring reliability, cost efficiency, and performance in large-scale workloads. Hybrid work model with in-office days.

You will implement and optimize batch and streaming data services using Golang, Python, SQL, Terraform, Docker, Kubernetes and Airflow; participate in code reviews; support production ops; collaborate with partner teams to deliver end-to-end data products, and

Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree or 11+ years of relevant work experience.
• Cloud computing skills (preferably Azure/AWS) and hybrid designs
• Proficiency in Golang or Python

Responsibilities

• Design and evolve the data platform, ensuring reliability, cost efficiency, and scalability
• Implement and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads
• Support production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs
• Participate in code and design reviews, promoting best practices in testing, security, and observability
• Collaborate with partner teams and internal customers to deliver end-to-end data products
• Help reduce technical debt and simplify systems with clean interfaces and consistent patterns

Skills

Golang

Python

SQL

Distributed systems

Observability

Education

Bachelor's Degree or higher

Tools

Terraform

Docker

Kubernetes

Airflow

Job description

Visa in the United States is seeking a Senior Data Platform Engineer to design and evolve a scalable data platform, ensuring reliability, cost efficiency, and performance in large-scale workloads. Hybrid work model with in-office days.

You will implement and optimize batch and streaming data services using Golang, Python, SQL, Terraform, Docker, Kubernetes and Airflow; participate in code reviews; support production ops; collaborate with partner teams to deliver end-to-end data products, and