Data / AI QE Lead

Hybrid in San Ramon, CA, US • Posted 3 days ago • Updated 3 days ago
Contract Independent
12 Months
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Spark
  • Kafka
  • Airflow
  • dbt
  • Snowflake
  • BigQuery
  • Databricks

Summary

Qualifications Required:

  • 7+ years in data or quality engineering, with at least 2 years leading a team or technical discipline
  • Proven experience testing data pipelines (batch and streaming) across modern data stack technologies (Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, Databricks, or similar)
  • Hands-on experience with ML model evaluation techniques, including offline metrics and online experimentation (A/B testing)
  • Strong SQL skills and proficiency in Python for data validation scripting and test automation
  • Familiarity with eCommerce data domains: customer behavior, product catalog, order management, inventory, and digital marketing
  • Excellent ability to communicate data and AI quality concepts to technical and non-technical stakeholders
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10196450
  • Position Id: 8970652
  • Posted 3 days ago
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