NVIDIA

Senior Data Engineer, Network Clustering

NVIDIA

full-time

Posted on:

Location Type: Office

Location: Tel Aviv • Israel

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Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKafkaPySparkPythonScalaSparkSQL

About the role

  • Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
  • Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form
  • Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools
  • Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
  • Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
  • Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks

Requirements

  • B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field
  • 12+ years of experience in data engineering, ideally in telemetry, streaming, or performance analytics domains
  • Confirmed experience with Databricks and Apache Spark (PySpark or Scala)
  • Understanding of streaming processes and their applications (e.g., Apache Kafka for ingestion, schema registry, event processing)
  • Proficiency in Python and SQL for data transformation and automation
  • Shown knowledge in schema evolution, data versioning, and data validation frameworks (e.g., Delta Lake, Great Expectations, Iceberg, or similar)
  • Experience working with cloud platforms (AWS, GCP, or Azure) — AWS preferred
  • Familiarity with data orchestration tools (Airflow, Prefect, or Dagster)
  • Experience handling time-series, telemetry, or real-time data from distributed systems
Benefits
  • competitive salaries
  • generous benefits package
Applicant Tracking System Keywords

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

Hard Skills & Tools
ETLELTdata transformationdata qualitydata validationPythonSQLApache SparkDatabricksschema evolution