Data Engineer, Financial Transactions and Automation

Sorry, this job was removed at 04:09 p.m. (CST) on Thursday, Dec 18, 2025
2 Locations
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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 and build the foundational systems that drive NVIDIA's high-performance financial infrastructure. You will play a critical role in designing scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.

What You'll Be Doing:

  • Pipeline Development: Develop and maintain event-driven pipelines (Kafka) and implement data models that ensure transactional integrity for commercial events like Invoices and Payments.

  • Data Analytics & Quality: Perform data analysis to validate financial accuracy, build dashboards to visualize system health, and implement automated quality checks within ETL processes.

  • Implementation & Operations: collaborate with the team to translate business requirements into scalable code, debugging operational issues to ensure the reliability of financial data flows.

What We Need To See:

  • Bachelor’s degree (or equivalent experience) with 5+ years of industry experience in data engineering or software development.

  • Technical Core: Proficiency in building REST APIs and data pipelines using Python, Java, Scala, or NodeJS, along with strong SQL and Data Analytics skills (e.g., complex querying, data profiling).

  • Infrastructure Familiarity: Working knowledge of distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure), including experience with container tools like Docker.

Ways to Stand Out from the Crowd:

  • Analytics Visualization: Experience using tools like Tableau, PowerBI, or Superset to drive business insights from financial data.

  • Financial Domain: Prior experience working with Financial/ERP data (SAP, Oracle) or understanding of basic accounting principles.

  • Modern Tooling: Familiarity with "Infrastructure as Code" concepts (Terraform) and orchestration tools like Airflow or Dagster.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 13, 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.

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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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