SR SOFTWARE ENGINEER

Duties:Design and build back-end services for data-centric clinical and analytic applications. Ensure cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. Collaborate with data engineering, platform, and solutions teams to develop beneficial applications. Work with Product Owners, Product Managers, and Architects to translate requirements into code. Develop services around data warehousing, big data, cloud computing, business intelligence, analytics, and machine learning. Participate in DevOps, Agile, continuous development, and integration frameworks. Program in high-level languages such as Go, Python, Java, etc. Create and maintain appropriate documentation of processes and source code. Communicate effectively with peers, leaders, and customers throughout the organization. Participate in expert-level troubleshooting and resolve problems through root cause analysis, data, and system investigation. Contribute to design and architecture discussions with Principals and Architects. Lead targeted cross-functional improvement efforts and mentor more junior software engineers. Solve complex problems and take a new perspective on existing solutions. Work independently with minimal guidance. Lead projects or project steps within a broader project or have accountability for ongoing activities or objectives. Act as a resource for colleagues with less experience. Core Responsibilities:Own the semantic layer across SAS, MCC, and Power BI; optimize for performance and consistency. Develop Power BI reports and datasets, including advanced DAX. Maintain complex Tableau dashboards and transition them onto the target stack where appropriate. Support legacy SAS environments well enough to interpret, maintain, and retire them. Query and model data on GCP / BigQuery (via MCC) to feed reports. Document datasets, measures, and lineage so analysts and downstream teams can self-serve. Technical Requirements:7 years in data and analytics roles, with 5 years hands-on BI development. Advanced Power BI — DAX, data modeling, visuals, RLS, performance tuning. Advanced Tableau — maintains complex existing dashboards; able to transition them onto Power BI. Working familiarity with SAS — enough to support, interpret, and retire legacy work. GCP / BigQuery (via MCC) — SQL, data access, query performance. Semantic layer design and performance tuning across mixed BI tools. SQL required; M / Power Query, DAX; Python or R a plus. Working knowledge of HIPAA in BI — row-level security, PHI minimization in reports, audit. Other Requirements:Cross-stack fluency: Operates across legacy and target tooling without losing momentum. Performance owner: Treats slow reports and queries as a problem to fix, not live with. Clear documentation: Documents datasets, measures, and assumptions so others can self-serve. Healthcare context: Understands how BI is consumed in clinical and administrative settings.