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Closed on July 6, 2026.
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Senior Data Engineer - Financial Transactions & Automation
Senior
Azure Databricks
Cloud
Cloud Architecture
Cloud Platform
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Lakehouse
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Databricks
ETL
Node Js
PostgreSQL
Scala
SQL
Stream Processing
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Job Description
Join NVIDIA's Financial Systems Engineering team to build foundational systems for high performance financial infrastructure and scalable cloud services. This onsite role in Santa Clara, CA focuses on enabling automated global financial operations by integrating a variety of financial systems. The position offers a competitive salary range of USD 184,000 - 287,500 per year.
Benefits
- Equity
- Benefits
Responsibilities
- Design event driven data pipelines using Kafka and create data models that ensure transactional integrity for invoices, payments, and adjustments.
- Automate scalable ETL processes and refactor next generation data architectures to improve quality, security, and coverage for growing business needs.
- Collaborate across teams to codify business processes into self measuring systems and address complex challenges to ensure the reliability of financial operations.
Requirements
- Bachelor’s degree or equivalent experience; Master’s preferred.
- 10+ years of experience delivering scalable financial services.
- Expertise building scalable REST APIs backed by PostgreSQL.
- 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.
- Deep understanding of high scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.
Technologies
- Kafka
- PostgreSQL
- Python
- Golang
- Scala
- NodeJS
- Databricks
- dbt
- Delta Lake
- Apache Iceberg
- Linux
- AWS
- GCP
- Azure
- Docker
- 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 functions.
- Financial Domain Scale: A track record of managing Financial or 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.
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