Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior Data Engineer

NVIDIA

Senior Data Engineer at NVIDIA developing scalable data pipelines for high-performance environments. Involves collaboration across teams and contributes to AI initiatives at the forefront of technology.

Posted 4/20/2026full-timeTel Hai • 🇮🇱 IsraelSeniorWebsite

Tech Stack

Tools & technologies
ApacheETLKafkaPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams
  • Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying cluster verification and telemetry data
  • Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas
  • Ensure data quality and pipeline health through observability standards, schema validation, lineage tracking, monitoring, and alerting
  • Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage
  • Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and datasets
  • Drive best practices in data modeling, code quality, and operational excellence; collaborate with cross-functional teams to support data-driven decision-making
  • Contribute to the development of AI Agents that enhance the visibility and accessibility of insights and data for our users

Requirements

What you’ll need
  • B.Sc. or M.Sc. in Computer Science, Data Science, or a related field
  • 5+ years of hands-on experience in data engineering
  • Strong practical experience with Apache Spark( PySpark or Scala) and Databricks
  • Proficiency in Python and SQL for data transformation, automation, and pipeline logic
  • Experience with Apache Kafka, including stream ingestion and event processing
  • Experience with schema evolution, data versioning, and validation frameworks (Delta Lake, Iceberg, or Great Expectations)
  • Strong problem-solving skills and ability to debug and troubleshoot complex data-related issues
  • Strong communication skills and ability to work effectively across teams

Benefits

Comp & perks
  • NVIDIA is committed to fostering a diverse work environment
  • proud to be an equal opportunity employer

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTApache SparkKafkaDatabricksPythonSQLDelta LakeIcebergGreat Expectations
Soft Skills
problem-solvingcommunicationcollaboration
Certifications
B.Sc.M.Sc.