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# Senior Data Engineer - Financial Transactions & Automation

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** 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, Node.Js, Scala (Programming Language), Containerization, Data Lakes, Apache Kafka, Restful APIs, Data Pipelines, Docker, Databricks, Golang
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9a83c7c7e8d1a81f

## About the Role

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.

## 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.


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