$146,200 – $233,700
Listed on Visa Inc.’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the design and development of large-scale data pipelines and platforms within Visa's payments technology infrastructure, supporting analytics, reporting, and machine learning across the organization. It suits experienced engineers who can architect distributed systems, mentor junior staff, and drive adoption of big data technologies in a fast-paced environment.
Our summary, not Visa Inc.’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Flink
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Docker
- Java
- Kubernetes
- Python
- Redis
- Scala
- SQL
- TensorFlow
- Unix Shell
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What they ask for
Required
- 5+ years relevant work experience (or 2+ years with advanced degree, or PhD)
- Design and build large-scale data pipelines for batch and real-time processing
- Develop distributed data systems that are highly available, scalable, and resilient
- Lead data platform initiatives and proof-of-concept projects
- Architecture of solutions using big data technologies
- ETL/ELT pipeline development and optimization
- Data governance, quality, and operational excellence
Nice to have
- 6+ years work experience with Bachelor's degree (or 4+ years with advanced degree, or 3+ years with PhD)
- Demonstrated leadership delivering enterprise-class applications
- Experience with Hadoop, Spark, Python, and SQL
- Expertise in Java or Scala and container technologies
- Large-scale data pipeline and ML model management
- Kafka, Redis, Flink, TensorFlow, Triton, and AWS proficiency
- Unix/Shell scripting and Airflow/Control-M scheduling tools
- Agile, TDD, CI/CD, and database familiarity
- Track record of building reliable, scalable applications
- Security analysis and collaboration experience
- Technical leadership and mentoring experience