Senior Data Engineer, Python - Marketing Data Platform

NVIDIA Corporation

Sacramento (CA)

A distancia

USD 150.000 - 210.000

Jornada completa

Hace 7 días
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Descripción de la vacante

NVIDIA Corporation is seeking a Senior Data Engineer to build and evolve shared data infrastructure powering marketing analytics and customer engagement at scale. You will own data pipelines, data products, and governance across global teams, shaping architecture with a focus on privacy, reliability, and cost efficiency.

You will collaborate with engineering, marketing, and operations to deliver scalable data solutions, mentor junior engineers, and drive production quality across platforms and

Formación

  • 8+ years of production data engineering experience.
  • Proficient in Python and Java or Golang; strong SQL fundamentals.
  • Experience with distributed data processing frameworks (e.g., Spark) and workflow orchestration (Airflow).
  • Experience with cloud data platforms, data lakehouse architectures (Iceberg), and data governance.
  • Ability to design, operate, and scale complex data pipelines across teams.

Responsabilidades

  • Architect, implement, and evolve batch and streaming data pipelines for customer behavior, campaigns, and consent data at scale.
  • Collaborate with engineering, marketing, and operations stakeholders to translate requirements into data architectures.
  • Lead incident investigations; drive governance, privacy by design, and auditable data lineage.

Conocimientos

Python
Java
Golang
SQL
NoSQL
Apache Spark
Airflow
Data Modeling

Educación

Bachelor's degree or equivalent
Master's degree or equivalent

Herramientas

Apache Airflow
Iceberg
Cloud data warehouses

Descripción del empleo

NVIDIA Corporation is seeking a Senior Data Engineer to build and evolve shared data infrastructure powering marketing analytics and customer engagement at scale. You will own data pipelines, data products, and governance across global teams, shaping architecture with a focus on privacy, reliability, and cost efficiency.

You will collaborate with engineering, marketing, and operations to deliver scalable data solutions, mentor junior engineers, and drive production quality across platforms and

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