Senior Data Engineer - Hybrid, Data Pipelines & Security

Visa; Bellevue (WA); On-site; USD 124,000 - 191,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness Program

Job summary

Visa is seeking Sr. Data Engineers to collaborate with product teams, partners, and cybersecurity to define data-driven features. They design components, identify systems, tools and storage, and present secure solutions while staying current with market trends.

All roles require fluency with emerging AI tools. The role emphasizes collaboration, code quality, data governance, and automation, with in-office expectations and travel as needed.

Qualifications

• 2+ years of relevant work experience or 5+ years of relevant work experience.
• Bachelor's degree required or equivalent experience.

Responsibilities

• Collaborate with stakeholders to clarify requirements and identify product stakeholders.
• Review requirements, escalate design issues, and create component designs/documentation.
• Implement code with secure patterns and standards.
• Participate in code reviews and own data products or pipeline components.
• Conduct unit testing and security scans; support user acceptance testing.
• Build tools/automation for transforming, managing, deploying data processes.
• Create queries to extract data and implement orchestration.
• Ensure data quality and governance; monitor performance.
• Troubleshoot and resolve pipeline issues; review fixes.

Skills

Stakeholder collaboration

Code implementation

Code reviews

Unit testing

Automation tools

Data quality

Data governance

Troubleshooting

Security remediation

Query development

Data pipelines

Mentoring peers

Education

Bachelor's degree

Job description

Visa is seeking Sr. Data Engineers to collaborate with product teams, partners, and cybersecurity to define data-driven features. They design components, identify systems, tools and storage, and present secure solutions while staying current with market trends.

All roles require fluency with emerging AI tools. The role emphasizes collaboration, code quality, data governance, and automation, with in-office expectations and travel as needed.