Data Engineer - Sr. Consultant level

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 (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. Expectation of days in office 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.

Preferred Qualifications:

• Experienced in building distributed systems at scale.
• Experience with Golang or Python and SQL.
• Experience with Cloud computing (Azure/AWS) and hybrid architecture.
• Experience with Stream processing and data platform tools (Flink, Serverless, Terraform, Docker, Kubernetes, Airflow).
• Experience with Observability and reliability tools such as Grafana, CloudWatch, on-call, SLA awareness.
• Experience with Version control and CI/CD tooling such as Git/GitHub, pipelines (e.g., Codefresh).

Additional Information

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 protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is $152,200.00 to $243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.