Senior Systems Data Engineer, Financial Transactions and Automation

Join NVIDIA in Austin, TX, onsite, with a competitive annual salary range of USD 224,000 to 356,500, plus equity and comprehensive benefits. As a Senior Systems Data Engineer on the Financial Systems Engineering team, you will design scalable data architectures and automation that power NVIDIA's financial infrastructure and monetization pipeline.

This role emphasizes collaboration, reliability, and data integrity across financial operations, offering a clear path to influence how financial data is captured, transformed, and consumed at scale.

Responsibilities

• Pipeline Architecture & Integrity: Architect event-driven pipelines using Kafka and develop data models that ensure 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 growing business demands.
• 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.
• 12+ years of industry experience delivering scalable financial services.
• Core Technical Skills: Expertise in building scalable REST APIs backed by PostgreSQL and 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.
• Infrastructure & Systems: 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
• REST APIs

Benefits

• Equity
• Benefits

Ways to Stand Out

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