Data Engineer with Databricks, SQL
Frisco, TX - USA
Job Summary
Data Engineer with Databricks SQL
Frico TX Bellevue WA. Overland park KS
Technical Skills
Strong SQL including performance tuning & optimization in large-scale analytical environments (Required)
Familiarity with Microsoft Fabric Databricks and the Azure data stack including Azure Data Lake Storage (Preferred)
Familiarity with dimensional modeling star schema design and semantic layer concepts (Preferred)
Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
Familiarity with Python Scala or other scripting languages used in pipeline development (Preferred)
Familiarity with common software design principles such as DRY SRP and OOP (Preferred)
Experience using AI tools agents or automation to accelerate engineering workflows (Preferred)
How You Work
Systems thinker: you consider how data tools processes and stakeholders interact across a broader ecosystem
Product owner mindset: end-to-end accountability for what you build not just the ticket in front of you
Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
Bias toward simplicity: you ask whether complexity is necessary before adding it
Strong SQL including performance tuning & optimization in large-scale analytical environments (Required)
Familiarity with Microsoft Fabric Databricks and the Azure data stack including Azure Data Lake Storage (Preferred)
Familiarity with dimensional modeling star schema design and semantic layer concepts (Preferred)
Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
Familiarity with Python Scala or other scripting languages used in pipeline development (Preferred)
Familiarity with common software design principles such as DRY SRP and OOP (Preferred)
Experience using AI tools agents or automation to accelerate engineering workflows (Preferred)
How You Work
Systems thinker: you consider how data tools processes and stakeholders interact across a broader ecosystem
Product owner mindset: end-to-end accountability for what you build not just the ticket in front of you
Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
Bias toward simplicity: you ask whether complexity is necessary before adding it