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Data Engineer - Sr. Consultant level
AI in this role
Data Engineer to design, implement, and optimize scalable data platforms and pipelines for banking and payment systems.
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Visa will accept applications for this role until at least 10-31-2026Job Description
Company Description
Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.
Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.
Pismo’s 500+ employees are located in more than 10 countries around the world.
Job Description
What you will do:
- 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.Qualifications
Basic 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 (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.
Information for US Applicants
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.How we rate this
Data Engineer - Sr. Consultant level at Visa rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
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- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where streaming was part of your work. What did you do?
- Tell me about a project where batch processing was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Streaming, Batch Processing, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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