Senior Data Engineer, Financial Transactions & Automation

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k

This role $236k

$101k most similar roles pay here $307k

This role pays more than 92% of similar roles. Most pay $126,800–$202,561 — the shaded band above. At the midpoint, this role pays about $236k versus about $165k for comparable roles.

Based on 240 similar postings.

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 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Financial Transactions & Automation

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The Senior Data Engineer - Financial Transactions & Automation joins the Financial Services Engineering team to build foundational systems for high-performance financial infrastructure and cloud services. This role focuses on architecting event-driven Kafka pipelines, developing data models ensuring ACID transactional integrity for invoices and payments, and automating scalable ETL processes to improve security and coverage. The engineer will codify business processes into self-measuring systems while managing large-scale Delta Lake or Apache Iceberg tables. Required technical skills include building REST APIs with PostgreSQL and proficiency in Python, Golang, Scala, or NodeJS. Candidates must possess experience with Databricks, dbt, Linux, and cloud infrastructure using Docker and Kubernetes. The role addresses the complex problem of transforming service usage into precise financial obligations through automated global payment capture, tax engines, and compliant invoicing for diverse financial systems.

What does a Data Engineer earn in California?

Median $187556 from 35 postings across 18 companies.

See salary data

Skills

Python Golang Scala NodeJS PostgreSQL Kafka Databricks dbt Delta Lake Apache Iceberg REST APIs ETL ELT Docker Kubernetes AWS GCP Azure Linux Infrastructure as Code

What you'll do

Architect event-driven pipelines using Kafka to ensure transactional integrity for invoices and payments.
Develop new data models to transform complex service usage into precise financial obligations.
Automate scalable ETL processes to improve data quality, security, and coverage for growing business demands.
Refactor next-generation data architectures to support high-performance financial infrastructure.
Codify manual business processes into self-measuring systems to automate global financial operations.
Build and maintain robust REST APIs backed by PostgreSQL using Python, Golang, Scala, or NodeJS.
Manage large-scale Delta Lake or Apache Iceberg tables using Databricks and dbt.
Develop semantic data layers to map disparate raw data into interconnected objects.

What we're looking for

Bachelor’s degree or equivalent experience; Master’s degree (preferred).
10+ years of industry experience delivering scalable financial services.
Proficiency in Python, Golang, Scala, or NodeJS to build scalable REST APIs backed by PostgreSQL.
Experience architecting robust ETL/ELT pipelines using Databricks and dbt with Delta Lake or Apache Iceberg tables.
Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using Docker and Kubernetes.
Experience developing data ontology or semantic data layers to map raw data into interconnected objects (preferred).
Track record of managing Financial/ERP data at internet scale with transactional integrity (preferred).
Infrastructure as Code mindset with experience building self-healing systems in distributed environments (preferred).

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