Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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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