Senior Data Engineer - Financial Transactions & Automation

Join NVIDIA's Financial Systems Engineering team in Santa Clara to build foundational systems for a high performance financial infrastructure and scalable cloud services. This on site role accelerates operational automation across global financial operations by integrating with diverse financial systems.

NVIDIA offers equity and comprehensive benefits, along with a collaborative culture that values reliability and cross functional teamwork. This senior position carries a salary range of USD 184,000 to 287,500 per year and seeks a candidate with at least 10 years of industry experience and a Bachelor’s degree (Master’s preferred).

Responsibilities

• Pipeline Architecture & Integrity: Design event driven pipelines using Kafka and develop data models that guarantee transactional integrity ACID for invoices, payments, and adjustments.
• Scalable Data Solutions: Automate scalable ETL processes and refactor next generation data architectures to improve quality, security, and coverage for fast growing business needs.
• Operational Excellence: Collaborate across teams to codify business processes into self measuring systems, debugging complex challenges to ensure reliability of financial operations.

Requirements

• Bachelor’s degree (or equivalent experience); Master’s preferred.
• 10+ years of industry experience delivering scalable financial services.
• Expertise in building scalable REST APIs backed by PostgreSQL.
• Proficiency in Python, Golang, Scala, or NodeJS.
• Hands on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large scale Delta Lake or Apache Iceberg tables.
• Deep understanding of high scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.

Technologies

• Kafka
• PostgreSQL
• Python
• Golang
• Scala
• NodeJS
• Databricks
• dbt
• Delta Lake
• Apache Iceberg
• Linux
• AWS
• GCP
• Azure
• Docker
• Kubernetes

Benefits

• Equity
• Benefits

Ways to Stand Out from the Crowd

• Advanced Data Modeling: Experience building data ontology or semantic layers that map disparate raw data into interconnected objects with defined properties and functions.
• Financial Domain Scale: Track record of managing financial or ERP data at internet scale, ensuring transactional integrity and zero data loss.
• Modern Operations: An Infrastructure as Code mindset with hands on experience building self healing systems in distributed environments.