Senior Data Engineer - Financial Transactions & Automation

Reposted Yesterday
2 Locations
In-Office or Remote
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Data Engineer will architect scalable financial data systems, develop ETL processes, and ensure transactional integrity for financial operations.
Summary Generated by Built In

NVIDIA is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us! If you're passionate about building scalable, efficient systems to power financial operations, we invite you to join our team. We are looking for a Senior Data Engineer to join our Financial Systems Engineering team. This role involves building the foundational systems that support NVIDIA's high-performance financial infrastructure. This individual will play an important role in building scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.

What You'll Be Doing:

  • 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.

What We Need To See:

  • Bachelor’s degree (or equivalent experience); Master’s preferred.

  • 5+ years of industry experience delivering scalable financial services.

  • 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.

Ways to Stand Out from the Crowd:

  • 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 12, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AWS
Azure
Docker
GCP
Java
Kafka
Kubernetes
Node.js
Postgres
Python
Scala
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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