Senior Software Engineer / BI Developer (GCP, Power BI, Tableau)

Trissential is hiring a Senior Software Engineer / BI Developer to join their client’s team, focusing on building modern, cloud-based data solutions. The role involves designing scalable backend services, optimizing data analytics applications, and collaborating with cross-functional teams to drive impactful projects.

Responsibilities:

• 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)
• Advanced expertise in 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
• Bachelor's degree in Computer Science, Engineering, or related field
• Master's degree in a relevant field
• Relevant cloud certifications (AWS, Azure, or GCP)
• Experience working with SAS in legacy or transitional environments
• Knowledge of healthcare data compliance (HIPAA, PHI handling, row-level security)
• Experience with machine learning, data science workflows, or advanced analytics
• Familiarity with Power Query (M), Python, or R
• Exposure to data warehousing and enterprise BI platform migrations