Senior Data Engineer - Financial Transactions & Automation

at Nvidia
USD 184,000-287,500 per year
SENIOR
✅ On-site

Tech Stack

AI API @ 6 AWS @ 7 Azure @ 7 Data Engineering Databricks @ 4 Distributed Systems @ 7 Docker @ 4 ELT @ 4 ETL @ 4 GCP @ 7 Go IaC Kafka Kubernetes @ 4 Linux @ 7 Node.js @ 6 Payments PostgreSQL @ 6 Python @ 6 Scala @ 6 Security dbt @ 4

Details

NVIDIA's Financial Services Engineering group architects the financial infrastructure powering NVIDIA Cloud Services, including GeForce NOW. The team owns the end-to-end monetization pipeline, including global payment capture, service usage processing, tax engines, financial ledgers, and compliant invoicing.

The Financial Systems Engineering team is seeking a Senior Data Engineer to build foundational systems for NVIDIA's high-performance financial infrastructure. The role focuses on scalable cloud services that integrate with diverse financial systems and enable operational automation across global financial operations.

Responsibilities

  • Architect event-driven pipelines using Kafka and develop data models that ensure transactional integrity through ACID principles for invoices, payments, adjustments, and other commercial events.
  • Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.
  • Collaborate across teams to codify business processes into self-measuring systems.
  • Debug complex challenges and ensure the reliability of financial operations.

Requirements

  • Bachelor's degree or equivalent experience; a Master's degree is preferred.
  • 10+ years of industry experience delivering scalable financial services.
  • Expertise building scalable REST APIs backed by PostgreSQL.
  • Proficiency in Python, Golang, Scala, or Node.js.
  • Hands-on experience architecting robust ETL/ELT pipelines using Databricks and dbt.
  • Experience managing large-scale Delta Lake or Apache Iceberg tables.
  • Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure, including AWS, GCP, or Azure.
  • Experience with container technologies such as Docker and Kubernetes.

Preferred Qualifications

  • Experience developing data ontologies or semantic data layers that map disparate raw data into interconnected objects with defined properties and functions.
  • Experience managing financial or ERP data at internet scale while ensuring transactional integrity and zero data loss.
  • An Infrastructure as Code mindset, with experience building self-healing systems in distributed environments.

Benefits

  • Competitive salary.
  • Equity eligibility.
  • Benefits package.
  • NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until September 27, 2026. NVIDIA uses AI tools in its recruiting processes.

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