Apply

Ready to go for it?

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

Apply faster with JobTailor

Recommended
Apply

Apply your way

Use the standard apply link, or let JobTailor help you move faster.

  • Apply directly in one click
  • No setup required
  • Best if you’re in a hurry
Start AI Apply
NVIDIA

Senior Data Engineer

NVIDIA

. Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams .

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.