NVIDIA
Financial Services
SeniorSystemsDataEngineer,FinancialTransactionsandAutomation-GeForceNOW
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Systems Data Engineer, Financial Transactions and Automation - GeForce NOW at NVIDIA. Skills: Systems Data Engineering, Financial Transactions, Automation, Scalable Cloud Services, Financial Infrastructure. Architect event-driven pipelines (Kafka). develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments”
What You'll Achieve.
ensure transactional integrity (ACID) for commercial events; improve quality, security, and coverage for rapidly growing business demands; ensure the reliability of financial operations; managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss
Industry & Context.
debugging complex challenges
What They're Looking For.
Must Have
Bachelor’s degree (or equivalent experience), 12+ years of industry experience delivering scalable financial services, Expertise in 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, cloud infrastructure (AWS/GCP/Azure), container technologies like Docker and Kubernetes
Nice to Have
Master’s preferred, Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and actionable functions, A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss, An "Infrastructure as Code" mindset with specific experience building self-healing systems in distributed environments
What You'll Do.
Architect event-driven pipelines (Kafka)
develop new data models that ensure transactional integrity (ACID) for commercial events like invoices
Automate scalable ETL processes
refactor next-generation data architectures to improve quality
and coverage for rapidly growing business demands
Codify business processes into self-measuring systems
debugging complex challenges to ensure the reliability of financial operations
How You'll Work.
Team & Collaboration
Collaborate across teams to codify business processes into self-measuring systems
Full Job Description
Within NVIDIA, our Financial Services Engineering (FSE) group’s 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. We are looking for a Senior Systems 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. * 12+ 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
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