Job description

About Net Health   Belong. Thrive. Make a Difference.   Are you looking for a meaningful and satisfying career where you have endless opportunities to grow and be financially rewarded? Net Health may be the perfect place for you.    A high-growth and profitable company, we help caregivers harness data for human health. We also honor and respect the needs of our Net Health family and staff, which is why we offer a work-from-anywhere environment and unlimited PTO. Our welcoming and collaborative culture paired with progressive benefits makes Net Health the ultimate career home!  As a leading-edge SaaS company in healthcare, we deliver solutions that help patients get better, faster, and live more fulfilling lives. Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Come join us and start the next chapter of your exciting career while helping others to live better lives.   World-Class Benefits That Reflect Our World-Class Culture.  Click Here to Learn More!:  #WorkFromAnywhere #UnlimitedPTO #ComprehensiveBenefitsPackage #EmployeeResourceGroups #CasualDressCode #PrioritizedEmployeeWellness #DiversityAndInclusion #AVoice #NewHireSupport #CareerDevelopment #EducationalAssistance #EmployeeReferralBonus #ProgressiveParentalLeave     JOB OVERVIEW The Business Intelligence Developer II builds and maintains Power BI reports and production reporting processes for the Value-Based Care Solutions (VBCS) engineering organization, supporting multiple product teams that turn CMS public data, clinical assessment data, and payment data into the reports and dashboards our clients use to measure quality and manage value-based care programs. You will own the day-to-day development and upkeep of our Power BI reports, from data model design through published report, and contribute to how the team builds and documents BI. You will also run our production reporting processes, built on Azure Data Factory and Databricks, that deliver client-facing reports, and help improve the data structures that feed them. You will work closely with Software Engineers and Product Owners, applying standard BI development principles and practices to a defined scope of work. We work AI-first. AI tooling is the default starting point for building reports, models, and pipelines. RESPONSIBILITIES AND DUTIES • Power BI Development • 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 • Data Pipelines and Production Reporting • 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 • Data Modeling and Quality • 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 • Collaboration and Delivery • 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 QUALIFICATIONS • 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 Preferred • 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 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) Note: This job description is not intended to be all-inclusive. Employee may perform other related duties as requested to meet the ongoing needs of the organization.  Salary Range: $78,400.00 - $98,000.00 USD Candidate Integrity & Monitoring Notice: We maintain a zero-tolerance policy for using AI tools, deepfakes, or impersonation to misrepresent a candidate's identity, skills, or qualifications during hiring. We use screening and identity verification methods to detect this and reserve the right to disqualify and report violations. Company-issued equipment, systems, and network activity are monitored for security and compliance purposes; details are provided during interviews and in our employee policies.

Requirements

Must-haves

Power BI Development
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
Data Pipelines and Production Reporting
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
Data Modeling and Quality
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
Collaboration and Delivery
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
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

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)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureaisqlagilescrumpythonmachine learning

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Pto

Wellness