Data Engineer - Sr. Consultant level

Visa•Austin, TX

1d•Hybrid

About The Position

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. 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.

Requirements

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.
Strong software engineering background building distributed systems at scale
Proficiency in Golang or Python
Cloud computing skills (preferably Azure/AWS) and hybrid designs
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.

Nice To Haves

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

Responsibilities

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