Senior Analytics Engineer Job at LOOP, Austin, TX

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  • LOOP
  • Austin, TX

Job Description

About the Opportunity:

We’re partnering with a client on a Senior Analytics Engineer role supporting a large-scale enterprise data modernization initiative.

This role sits at the intersection of data engineering and analytics, focused on building analytics-ready data models in a modern Databricks lakehouse to support enterprise reporting, forecasting, and operational insights.

Austin, TX; Hybrid

What You’ll Do:

  • Build and optimize Silver/Gold data models in Databricks using SQL, Spark, and Delta Lake
  • Translate business and analytical requirements into scalable, governed data transformations
  • Develop enterprise data models across CRM and operational systems (Salesforce experience strongly preferred)
  • Partner with data engineering and BI teams to support semantic layers, KPIs, and downstream reporting
  • Drive data quality, performance optimization, and documentation standards

What We’re Looking For:

  • 5+ years of analytics engineering or data modeling experience in Databricks
  • 3+ years of Salesforce experience
  • Strong SQL and PySpark skills with modern lakehouse and dimensional modeling experience
  • Ability to bridge business context with technical execution in an enterprise environment

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