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Power BI Developer
Job Location:
Job Location:
Phoenix, NM - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
25 August 2026 (9 hours ago)
Posted:
Application Deadline:
22 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
ROLEDESCRIPTION
Power BI & Business Intelligence
Design develop and maintain enterprise-grade Power BI dashboards reports and semantic models.
Build intuitive interactive visualizations that translate complex datasets into actionable business insights.
Develop advanced DAX calculations and business logic; use Power Query / M for transformation cleansing and
preparation.
Configure and optimize semantic models RLS Import/DirectQuery/composite models incremental refresh and data
gateways.
Establish reusable reporting standards templates KPI definitions and visualization best practices.
Support deployment and lifecycle management across development testing and production; troubleshoot report refresh
gateway semantic-model and performance issues.
Data Engineering
Design build and maintain scalable ETL/ELT pipelines supporting analytics and reporting.
Integrate data from databases APIs files cloud platforms and enterprise applications.
Develop optimized SQL queries stored procedures views and transformation logic.
Build and maintain data warehouse data lake and/or lakehouse solutions.
Implement data cleansing transformation validation reconciliation and quality-control processes.
Develop reusable pipelines/frameworks using Python PySpark SQL and cloud-native services.
Implement monitoring error handling logging alerting and operational support for pipelines.
Optimize large datasets and processing workloads for performance reliability and cost efficiency.
Support metadata lineage governance data-quality CI/CD and version-control practices.
Power BI & Business Intelligence
Design develop and maintain enterprise-grade Power BI dashboards reports and semantic models.
Build intuitive interactive visualizations that translate complex datasets into actionable business insights.
Develop advanced DAX calculations and business logic; use Power Query / M for transformation cleansing and
preparation.
Configure and optimize semantic models RLS Import/DirectQuery/composite models incremental refresh and data
gateways.
Establish reusable reporting standards templates KPI definitions and visualization best practices.
Support deployment and lifecycle management across development testing and production; troubleshoot report refresh
gateway semantic-model and performance issues.
Data Engineering
Design build and maintain scalable ETL/ELT pipelines supporting analytics and reporting.
Integrate data from databases APIs files cloud platforms and enterprise applications.
Develop optimized SQL queries stored procedures views and transformation logic.
Build and maintain data warehouse data lake and/or lakehouse solutions.
Implement data cleansing transformation validation reconciliation and quality-control processes.
Develop reusable pipelines/frameworks using Python PySpark SQL and cloud-native services.
Implement monitoring error handling logging alerting and operational support for pipelines.
Optimize large datasets and processing workloads for performance reliability and cost efficiency.
Support metadata lineage governance data-quality CI/CD and version-control practices.
