Senior Systems Data Engineer, Financial Transactions and Automation

Join NVIDIA in Austin, onsite, for a role that blends leadership in data engineering with strategic impact on financial systems. This position offers a competitive total compensation package including a salary range of USD 224,000 - 356,500 per year, equity opportunities, and a comprehensive benefits program. You will contribute to building scalable data architectures and automation that power NVIDIA's financial infrastructure and monetization pipeline.

Responsibilities

• Pipeline Architecture & Integrity: Architect event driven pipelines using Kafka and develop new data models that ensure transactional integrity (ACID) for 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

• 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 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, REST APIs

Benefits

• Equity
• Benefits

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.