Senior Data Engineer - Scale Marketing Data & Privacy

NVIDIA Corporation; Texas; On-site; USD 168,000 - 270,000; Full time

Job summary

NVIDIA’s Digital Marketing Operations team seeks a Senior Data Engineer to build scalable data infrastructure powering customer engagement and marketing analytics. You will own data domains, lead cross-functional initiatives, and architect batch/streaming pipelines for privacy-conscious data at scale.

Qualifications include 8+ years in data engineering, strong Python/Java or Golang, Spark and Airflow, plus deep cloud data platform experience. Equity and benefits accompany the base salary.

Qualifications

• 8+ years of experience with a Bachelor's or equivalent plus a Master's degree in CS/Engineering or related field.
• End-to-end ownership of multi-pipeline data domains or cross-team data engineering initiatives.
• Strong Python, Java or Golang, and SQL fundamentals with production quality code.
• Experience with Spark and cloud ETL, Airflow or similar orchestrators.
• Proven ability to architect and operate large-scale cloud data workflows.

Responsibilities

• Own a data domain within Digital Marketing Operations including pipelines and data products.
• Lead cross-functional initiatives across engineering, marketing, and operations.
• Architect and evolve batch and streaming pipelines for customer data at scale.
• Build data quality frameworks and engineering standards.
• Lead production incident investigations and coordinate root-cause analysis.
• Embed privacy and compliance by design across the data platform.

Skills

Python

Java or Golang

SQL fundamentals

Distributed data processing

Data governance

Leadership

Education

Bachelor's or equivalent

Master's or equivalent

Tools

Apache Spark

Airflow

Cloud data warehouses

Job description

NVIDIA’s Digital Marketing Operations team seeks a Senior Data Engineer to build scalable data infrastructure powering customer engagement and marketing analytics. You will own data domains, lead cross-functional initiatives, and architect batch/streaming pipelines for privacy-conscious data at scale.

Qualifications include 8+ years in data engineering, strong Python/Java or Golang, Spark and Airflow, plus deep cloud data platform experience. Equity and benefits accompany the base salary.