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# Data Engineer - Sr. Consultant level

- **Company:** Visa Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $152,200.0 - $243,700.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data as a Services, Data Infrastructure, Database Queries, Distributed Systems, Python (Programming Language), Software Engineering, Grafana, Technical Debt, Cloudwatch, Terraform, Software Version Control, Docker, Golang
- **Published:** September 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18163937?backUrl=%2Fcareer%2F18163937%2FData-Engineer-Sr-Consultant-Level-Washington-Bellevue

## About the Role

* 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 (preferably Azure/AWS) and hybrid designs

 * Proficiency in Golang or Python

Preferred Qualifications

 * 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
What we are looking for:

 * Strong software engineering background building distributed systems at scale
 * Experience with modern streaming processing
 * Data platform tooling: Terraform (IaC), Docker and Kubernetes (production) and Airflow (or similar orchestration)
 * Observability and reliability mindset: Grafana, CloudWatch (logs, metrics, traces), on-call participation, SLA awareness
 * Strong SQL skills
 * Version control and CI/CD: Git/GitHub, pipelines (e.g. Codefresh) or similar
 * Soft skills: clear communication, adaptability, self-management, critical thinking, collaboration.

## Description

* 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

This is a Hybrid position.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.


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