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.