Senior Data Engineer - Financial Transactions & Automation

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

Senior Data Engineer role focused on building and maintaining the foundational financial infrastructure for NVIDIA's cloud services, including payment capture, invoicing, and transaction integrity. Requires expertise in data pipelines, ETL, distributed systems, and cloud infrastructure within a fintech domain.

What you'd actually do

  1. Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments.
  2. Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.
  3. Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.

Skills

Required

  • Python
  • Golang
  • Scala
  • NodeJS
  • PostgreSQL
  • Databricks
  • dbt
  • Delta Lake
  • Apache Iceberg
  • Kafka
  • Docker
  • Kubernetes
  • AWS
  • GCP
  • Azure
  • REST APIs
  • ETL/ELT pipelines
  • distributed systems
  • Linux

Nice to have

  • Master’s degree
  • Data ontology
  • semantic data layers
  • Infrastructure as Code
  • self-healing systems

What the JD emphasized

  • 10+ years of industry experience delivering scalable financial services
  • 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
  • Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes
  • A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss