Business Intelligence Developer II - REMOTE
Net Health · Pittsburgh, PA · 5 days ago
RemoteRemoteInformation Technology$78k–$98k/yrFull-time
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 DevelopmentDesign, 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 usabilityFollow and help document the team's Power BI development practices, including workspace organization, refresh management, and performance patternsUse AI tooling as the default starting point for report and model development, and validate output against source data and business intent before releaseData Pipelines and Production ReportingRun production reporting processes: ingest data updates, run and monitor existing Azure Data Factory pipelines and Databricks notebooks, validate outputs, and deliver reports on scheduleBuild and maintain Azure Data Factory pipelines; adapt them when upstream data sources changeManage source control and pull requests in Azure DevOps and prepare pipeline changes for production deploymentData Modeling and QualityDesign, maintain, and improve SQL tables, views, and datasets that follow BI best practices: dimensional modeling, consistent naming, and appropriate grainValidate report and data accuracy against source systems before release; troubleshoot issues within established pipelines and reports, identify root cause, and recommend fixesDocument processes, runbooks, and data definitions, and support standing client report deliverables as requiredCollaboration and DeliveryComplete moderately complex reporting and pipeline projects with general guidance and defined prioritiesWork in an Agile/Scrum process alongside Software engineers and Product owners; participate in sprint planning, refinement, retrospectives, and peer reviews of BI deliverablesPartner 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 experience4+ years of relevant experience in business intelligence or data engineeringStrong, current, hands-on Power BI development experience: data modeling, DAX, Power Query, workspace and refresh managementExperience building and maintaining Azure Data Factory pipelinesFamiliarity with Databricks (running and maintaining notebooks, working in Repos)Strong SQL against relational databases (SQL Server, Azure SQL, or similar), including query tuningWorking 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 datasetsExperience with R or Python in a data pipeline or analytics contextExposure to predictive modeling or machine learning workflows Required Software Experience Power BI (Desktop and Service)Azure Data FactoryAzure DatabricksSQL (SQL Server, Azure SQL, or similar)Azure DevOps or equivalent Git-based source controlR 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.