Senior Data Engineer (Python) - Scale, Privacy, Equity

NVIDIA Corporation; California City (CA); Remote; USD 150,000 - 230,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Data Engineer to design and operate scalable data pipelines and platforms powering marketing analytics, audience segmentation, and campaign operations. You will own a core data domain, shape architectures, and drive privacy-compliant data activation across global teams.

You will collaborate with engineering, marketing, and operations to translate requirements into robust data architectures, write high-quality code, and lead governance initiatives.

Qualifications

• Design, implement, and operate production data pipelines and platforms.
• Proficient in Python and Java/Golang with strong SQL fundamentals.
• Experience with Spark and cloud ETL services in production.
• Experience with Airflow or equivalent workflow tools.
• Cloud data warehouses and object storage in production environments.
• Knowledge of data lake or lakehouse architectures like Iceberg.
• Strong data modeling, governance, and privacy/compliance focus.

Responsibilities

• Own data domain architecture across pipelines, data products, and audience services.
• Translate requirements into robust data architectures and production-grade code.
• Build and evolve batch and streaming pipelines at scale.
• Lead data governance, consent propagation, and privacy-by-design practices.
• Investigate production incidents and drive reliability improvements.
• Mentor junior engineers and promote engineering quality.

Skills

Python

Java

Golang

SQL

NoSQL

Apache Spark

Airflow

Cloud data platforms

Iceberg

Data governance

Identity resolution

MarTech / CDP integrations

Streaming pipelines

Data quality

Education

Bachelor's degree

Master's degree or equivalent

Tools

Airflow

Apache Iceberg

Job description

NVIDIA Corporation is seeking a Senior Data Engineer to design and operate scalable data pipelines and platforms powering marketing analytics, audience segmentation, and campaign operations. You will own a core data domain, shape architectures, and drive privacy-compliant data activation across global teams.

You will collaborate with engineering, marketing, and operations to translate requirements into robust data architectures, write high-quality code, and lead governance initiatives.