Senior Software Engineer / BI Developer (GCP, Power BI, Tableau)
Indexed description
What’s in It for You?
- High-Impact Work – Build and optimize data-driven applications that support clinical insights and decision-making
- Modern Tech Stack – Work with GCP, BigQuery, Power BI, Tableau, and evolving analytics platforms
- Ownership & Influence – Own the semantic layer and help drive the BI transition roadmap
- Innovation & Growth – Engage with cutting-edge cloud, big data, and machine learning technologies
- Collaborative Culture – Partner with product, data engineering, and architecture teams to deliver real outcomes
- 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
- 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
- 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
- Bachelor’s degree in Computer Science, Engineering, or related field (required)
- Master’s degree in a relevant field (preferred)
- Relevant cloud certifications (AWS, Azure, or GCP) are a plus
- Competitive Compensation –$71–$81 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
- Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
- Paid Time Off – Offers paid time away from work
- Remote Flexibility – Work from anywhere within the U.S.
- Career Growth – Access to advanced technologies, training, and leadership opportunities
- Collaborative Environment – Work alongside top-tier engineers and data professionals
Ready to Elevate Your Career?
If you're passionate about building scalable data solutions and want to work with a forward-thinking team leveraging the latest in analytics and cloud technology, this is your moment.
Apply today and take the next step in your journey with Trissential!
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