Senior Data Engineer - Financial Transactions & Automation
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Role details
Tech stack
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Job 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.
Requirements
Do you have experience in Systems engineering?, Do you have a Masterās degree?, * Bachelorās degree (or equivalent experience); Masterās 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.
Benefits & conditions
4.24.2 out of 5 stars 2788 San Tomas Expressway, Santa Clara, CA 95051 $184,000 - $287,500 a year - Full-time, * 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/ERP data at internet scale, ensuring transactional integrity and zero data loss.
- Modern Operations: An āInfrastructure as Codeā mindset with specific experience building self-healing systems in distributed environments.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology worldās most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If youāre a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
About the company
Within NVIDIA, our Financial Services Engineering (FSE) groupās mission is to architect the financial infrastructure powering NVIDIA Cloud Services, including GeForce Now, by owning the end-to-end monetization pipeline. We orchestrate seamless global payment capture and transform complex service usage into precise financial obligations, leveraging tax engines, financial ledgers, and compliant invoicing to ensure every customer transaction is accurate and frictionless across the globe.
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