Senior Data Platform Engineer – Hybrid

110 Visa U.S.A. Inc.

United States

Hybrid

USD 152,000 - 244,000

Full time

14 days+
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Job summary

Visa is seeking a data platform engineer to contribute to the design and evolution of our data platform, ensuring reliability, cost efficiency, and scalability.

You will implement and optimize streaming and batch data services for large-scale workloads, support production operations, review code, and collaborate with partner teams to deliver end-to-end data products.

This hybrid role requires 3 days in office and travel up to 10%.

Qualifications

  • 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
  • Cloud computing skills (Azure/AWS) and hybrid designs
  • Proficiency in Golang or Python
  • Strong software engineering background building distributed systems at scale

Responsibilities

  • Contribute to the design and evolution of 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
Cloud computing
SQL

Education

Bachelor's degree or higher

Tools

Docker
Kubernetes
Terraform
Airflow

Job description

Visa is seeking a data platform engineer to contribute to the design and evolution of our data platform, ensuring reliability, cost efficiency, and scalability.

You will implement and optimize streaming and batch data services for large-scale workloads, support production operations, review code, and collaborate with partner teams to deliver end-to-end data products.

This hybrid role requires 3 days in office and travel up to 10%.

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