Senior Data Engineer II

Added
less than a minute ago
Type
Full time
Salary
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Related skills

bigquery looker snowflake sql python

๐Ÿ“‹ Description

  • Define analytics architecture for product data, modeling patterns, semantic layers.
  • Own instrumentation standards and governance for reliable data.
  • Lead end-to-end analytics: modeling, dashboards, and self-serve datasets.
  • Build scalable dashboards and reporting frameworks for product decisions.
  • Collaborate with data scientists, analysts, PMs, and engineers to drive adoption and insights.
  • Define visualization standards to ensure clear, consistent insights.

๐ŸŽฏ Requirements

  • Bachelor's degree in CS, Engineering, Analytics, or related field (or equivalent).
  • 6+ years in analytics engineering or data engineering with a product analytics focus.
  • Advanced SQL and production-grade data models in Snowflake/BigQuery/Redshift.
  • Experience with dbt (or similar) for analytics layers.
  • Hands-on dashboard creation in Looker, Tableau, Sigma, or Power BI.
  • Strong event-driven data, instrumentation, and metric governance knowledge.

๐ŸŽ Benefits

  • Competitive salary and 401k with employer match.
  • Discretionary paid time off.
  • Paid parental leave for all.
  • Medical, Dental, Vision plans.
  • Learning & Development programs.
  • Employee Resource Groups (ERGs).
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