Data Jobs in Santa Clara, CA

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3d ago

Senior Data Engineer - Financial Transactions & Automation

NVIDIA Santa Clara, CA

Santa Clara, CA

3d ago

$184k - $288k/yr Full time Senior Azure Databricks Cloud

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Job Description

Join NVIDIA in Santa Clara, California, onsite, as a Senior Data Engineer within the Financial Systems Engineering group. You will help build foundational, scalable data platforms that support NVIDIA’s high performance financial infrastructure and cloud services, enabling automated operations across global finance by integrating diverse systems. The package includes equity and a comprehensive benefits program, with a salary range of USD 184,000 - 287,500 per year.

Responsibilities

Pipeline Architecture & Integrity: design event driven pipelines using Kafka and craft data models that preserve transactional ACID properties for invoices, payments, and adjustments.
Scalable Data Solutions: automate scalable ETL processes and refactor modern data architectures to enhance quality, security, and coverage for rapidly growing business needs.
Operational Excellence: work cross functionally to codify business processes into self measuring systems and troubleshoot complex challenges to maintain reliable financial operations.

Requirements

Bachelor’s degree (or equivalent experience); Master’s preferred.
10+ 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, 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

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 functions.
Financial Domain Scale: a track record of managing financial or ERP data at internet scale, ensuring transactional integrity and zero data loss.
Modern Operations: an Infrastructure as Code mindset with hands on experience building self healing systems in distributed environments.

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