Senior Data Engineer – Scalable Data Pipelines (Hybrid)

VISA

Washington (District of Columbia)

Hybrid

USD 152,000 - 244,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k)
FSA/HSA
Life insurance
Paid time off
Wellness program
Hybrid work model
Travel 5-10%
Bonus and equity potential

Job summary

Visa is seeking a senior data platform engineer to contribute to the design and evolution of a scalable data platform. You will implement high-performance data services for batch and streaming workloads and support production operations with robust monitoring and incident response.

Hybrid role requiring at least 3 days in the office; collaboration across teams to deliver end-to-end data products with strong emphasis on observability and reliability.

Qualifications

  • Minimum 8+ years of relevant work experience with a degree, or 5+ years with advanced degree.
  • Strong software engineering background and distributed systems experience.
  • Experience with modern streaming processing and data platforms.

Responsibilities

  • Design and evolve the data platform for reliability and scalability.
  • Implement and optimize batch and streaming data services.
  • Support production operations, monitoring, and incident response.
  • Review code and design for testing, security and observability.
  • Collaborate with partner teams to deliver end-to-end data products.

Skills

Software engineering
Distributed systems
Streaming data
SQL
Observability
CI/CD
Git/GitHub

Education

Bachelor's degree or higher

Tools

Terraform
Docker
Kubernetes
Airflow
Grafana
CloudWatch

Job description

Visa is seeking a senior data platform engineer to contribute to the design and evolution of a scalable data platform. You will implement high-performance data services for batch and streaming workloads and support production operations with robust monitoring and incident response.

Hybrid role requiring at least 3 days in the office; collaboration across teams to deliver end-to-end data products with strong emphasis on observability and reliability.

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