As a Senior Systems Data Engineer on NVIDIA’s Financial Services Engineering team, you will architect event-driven pipelines using Kafka and develop data models ensuring transactional integrity for commercial events. You’ll automate scalable ETL processes and refactor next-generation data architectures to support rapid business growth while collaborating across teams to codify business processes into self-measuring systems. The role requires expertise in building scalable REST APIs with PostgreSQL, proficiency in Python, Golang, Scala, or NodeJS, and hands-on experience with Databricks and dbt for managing large-scale Delta Lake or Apache Iceberg tables. You must have a deep understanding of high-scale distributed systems, Linux, cloud infrastructure (AWS/GCP/Azure), Docker, and Kubernetes, along with advanced data modeling skills to manage Financial/ERP data at internet scale.
Design event-driven pipelines using Kafka for transactional integrity of commercial events.
Develop scalable ETL processes and next-generation data architectures to support business growth.
Automate complex financial operations by codifying business processes into self-measuring systems.
Build robust REST APIs with PostgreSQL, ensuring high performance and reliability.
Architect ETL/ELT pipelines using Databricks and dbt for large-scale Delta Lake or Iceberg tables.
Ensure transactional integrity and zero data loss in managing Financial/ERP data at internet scale.
What we're looking for
12+ years of industry experience delivering scalable financial services.
Expertise in building scalable REST APIs and ETL pipelines using PostgreSQL, Databricks, dbt, Delta Lake/Apache Iceberg.
Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) with container technologies like Docker/Kubernetes.
Experience developing advanced data models and semantic layers for large-scale financial/ERP data management.
Proven ability to ensure transactional integrity and zero data loss in internet-scale financial systems.
Hands-on experience automating scalable ETL processes and refactoring next-generation data architectures.
Market check
Salary context
This
$224,000–$356,500
range sits above
99%
of similar postings on FindRole.
Peer median band
$141,900–$217,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$143,625–$223,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Remote (Us, Ca, Santa Clara, US)30 days ago
$224,000–$356,500
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