Senior Data Engineer - Financial Transactions & Automation

NVIDIA Ltd.
Santa Clara, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$184,000.0 - $287,500.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Apache HTTP Server Systems Engineering Microsoft Azure Cloud Computing Data Architecture Extract Transform Load (ETL) Software Debugging Linux Distributed Systems Python (Programming Language) PostgreSQL
+10 more
Node.Js Scala (Programming Language) Containerization Data Lakes Apache Kafka Restful APIs Data Pipelines Docker Databricks Golang

Job description

  • 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.

Requirements

Do you have experience in Systems engineering?, Do you have a Master’s degree?, * Bachelor’s degree (or equivalent experience); Master’s preferred.

  • 10+ 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.

Benefits & conditions

4.24.2 out of 5 stars 2788 San Tomas Expressway, Santa Clara, CA 95051 $184,000 - $287,500 a year - Full-time, * Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and 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 ā€œInfrastructure as Codeā€ mindset with specific experience building self-healing systems in distributed environments.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

About the company

Within NVIDIA, our Financial Services Engineering (FSE) group’s mission is to architect the financial infrastructure powering NVIDIA Cloud Services, including GeForce Now, by owning the end-to-end monetization pipeline. We orchestrate seamless global payment capture and transform complex service usage into precise financial obligations, leveraging tax engines, financial ledgers, and compliant invoicing to ensure every customer transaction is accurate and frictionless across the globe.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou Ā· Coffee With Developers

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard Ā· WWC 2025

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab Ā· LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz Ā· WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt Ā· LIVE

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani Ā· Europe 2026 Virtual

Videos

See all

Related articles

See all