Business Intelligence Developer II

. Build and maintain Power BI reports, dashboards, and semantic models for internal and client-facing use .

Posted 9/25/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $78,400 - $98,000 per yearWebsite

Tools & technologies

AzurePythonSQL

Key responsibilities & impact

Build and maintain Power BI reports, dashboards, and semantic models for internal and client-facing use
Develop maintainable DAX and Power Query optimized for performance and usability
Follow and document Power BI development practices, including workspace organization, refresh management, and performance patterns
Use AI tooling as the default starting point for report and model development, validating output against source data and business intent
Run production reporting processes, including ingesting data updates, monitoring Azure Data Factory pipelines and Databricks notebooks, validating outputs, and delivering reports on schedule
Build and maintain Azure Data Factory pipelines and adapt them when upstream data sources change
Manage source control and pull requests in Azure DevOps and prepare pipeline changes for production deployment
Design, maintain, and improve SQL tables, views, and datasets using BI best practices
Validate report and data accuracy, troubleshoot issues, identify root causes, and recommend fixes
Document processes, runbooks, and data definitions
Complete moderately complex reporting and pipeline projects with general guidance and defined priorities
Participate in Agile/Scrum activities, including sprint planning, refinement, retrospectives, and peer reviews
Partner with Product and Account Management to translate reporting requirements into BI deliverables

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience
4+ years of relevant experience in business intelligence or data engineering
Strong, current, hands-on Power BI development experience, including data modeling, DAX, Power Query, workspace and refresh management
Experience building and maintaining Azure Data Factory pipelines
Familiarity with Databricks, including running and maintaining notebooks and working in Repos
Strong SQL against relational databases, including query tuning
Working knowledge of BI data modeling principles, including dimensional modeling and star schema design
Experience with healthcare data, especially post-acute or long-term care and CMS public datasets, preferred
Experience with R or Python in a data pipeline or analytics context, preferred
Exposure to predictive modeling or machine learning workflows, preferred
Required software experience: Power BI (Desktop and Service), Azure Data Factory, Azure Databricks, SQL (SQL Server, Azure SQL, or similar), Azure DevOps or equivalent Git-based source control
R and Python nice to have

Comp & perks