Business Intelligence Developer II - REMOTE

Summary

Net Health is a healthcare SaaS company that delivers software and predictive analytics solutions across the continuum of care. The Business Intelligence Developer II builds and maintains Power BI reports, semantic models, and production reporting processes for value-based care solutions. The role also manages Azure Data Factory and Databricks pipelines, validates data quality, documents BI practices, and collaborates with engineering, product, and account management teams.

Responsibilities

• Design, build, and maintain Power BI reports, dashboards, and semantic models for internal and client-facing use, with maintainable DAX and Power Query optimized for performance and usability
• Follow and help document the team's 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, and validate output against source data and business intent before release
• Run production reporting processes: ingest data updates, run and monitor existing Azure Data Factory pipelines and Databricks notebooks, validate outputs, and deliver reports on schedule
• Build and maintain Azure Data Factory pipelines; 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 that follow BI best practices: dimensional modeling, consistent naming, and appropriate grain
• Validate report and data accuracy against source systems before release; troubleshoot issues within established pipelines and reports, identify root cause, and recommend fixes
• Document processes, runbooks, and data definitions, and support standing client report deliverables as required
• Complete moderately complex reporting and pipeline projects with general guidance and defined priorities
• Work in an Agile/Scrum process alongside Software engineers and Product owners; participate in sprint planning, refinement, retrospectives, and peer reviews of BI deliverables
• Partner with Product and Account Management to understand reporting requirements and translate them into BI deliverables

Skills

• 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: data modeling, DAX, Power Query, workspace and refresh management
• Experience building and maintaining Azure Data Factory pipelines
• Familiarity with Databricks (running and maintaining notebooks, working in Repos)
• Strong SQL against relational databases (SQL Server, Azure SQL, or similar), including query tuning
• Working knowledge of BI data modeling principles, including dimensional modeling and star schema design
• 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
• Experience with healthcare data, especially post-acute or long-term care and CMS public datasets
• Experience with R or Python in a data pipeline or analytics context
• Exposure to predictive modeling or machine learning workflows
• R and Python (nice to have)

Qualifications

Must Haves

• 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: data modeling, DAX, Power Query, workspace and refresh management
• Experience building and maintaining Azure Data Factory pipelines
• Familiarity with Databricks (running and maintaining notebooks, working in Repos)
• Strong SQL against relational databases (SQL Server, Azure SQL, or similar), including query tuning
• Working knowledge of BI data modeling principles, including dimensional modeling and star schema design
• 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

Nice to Haves

• Experience with healthcare data, especially post-acute or long-term care and CMS public datasets
• Experience with R or Python in a data pipeline or analytics context
• Exposure to predictive modeling or machine learning workflows
• R and Python (nice to have)

Benefits

• Work-from-anywhere environment
• Unlimited PTO
• Comprehensive benefits package
• Employee resource groups
• Casual dress code
• Prioritized employee wellness
• Diversity and inclusion
• A Voice
• New hire support
• Career development
• Educational assistance
• Employee referral bonus
• Progressive parental leave