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Senior Data Engineer - Financial Transactions & Automation

NVIDIA

$148,000 - $287,500
Dec 8, 2025
Santa Clara, CA, US
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NVIDIA is looking to build scalable, efficient systems to power financial operations

Requirements

  • Core Technical Skills: Expertise in building scalable REST APIs backed by PostgreSQL and proficiency in Python, Java, Scala, or NodeJS.
  • Infrastructure & Systems: Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.
  • 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 specific experience building self-healing systems in distributed environments.

Responsibilities

  • Pipeline Architecture & Integrity: Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like Invoices, Payments, and Adjustments.
  • Scalable Data Solutions: Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.
  • Operational Excellence: Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.

Other

  • Bachelor’s degree (or equivalent experience); Master’s preferred.
  • 5+ years of industry experience delivering scalable financial services.
  • Travel requirements not specified
  • Must be eligible to work in the country where the job is located
  • NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.