Job Description:
• Design and build scalable backend services supporting analytics and clinical applications
• Own and optimize the semantic layer across SAS, MCC, and Power BI environments
• Develop high-performance Power BI datasets, reports, and dashboards (advanced DAX required)
• Maintain and modernize Tableau dashboards, transitioning them into Power BI where appropriate
• Query and model large datasets using GCP BigQuery for analytics consumption
• Contribute to microservices architecture ensuring reliability, scalability, and performance
• Collaborate with product owners, architects, and engineers to translate business requirements into solutions
• Maintain and interpret legacy SAS environments, supporting transition efforts
• Perform deep-dive troubleshooting and root cause analysis for data and system issues
• Document datasets, reporting logic, and data lineage to enable self-service analytics
• Mentor junior engineers and contribute to cross-functional improvement initiatives
Requirements:
• 7+ years in data, software engineering, or analytics roles
• 5+ years of hands-on BI development experience
• Advanced expertise in: Power BI (DAX, data modeling, RLS, performance tuning)
• Tableau (complex dashboard development and maintenance)
• Strong SQL skills with experience in large-scale data environments
• Experience with GCP / BigQuery (data modeling, performance optimization)
• Knowledge of backend development using languages such as Python, Java, Go, or C#
• Experience building scalable, distributed systems and cloud-native applications
• Strong understanding of software development lifecycle (SDLC), Agile, and DevOps practices
• Excellent communication skills with the ability to work across technical and business teams
Benefits:
• Medical
• Dental
• Vision
• Free tele-health
• HSA with company contribution
• Life and disability insurance
• 401k with matching
• Paid time off