Senior Engineer, Platform & Data

Mosaic Pediatric Therapy provides clinic-based and home-based ABA therapy for children with autism across North Carolina and Virginia. They are seeking a Senior Engineer, Platform & Data to help establish the technical foundation for internal software development, data engineering, and operational practices, while also supporting the company's growing technology ecosystem.

Responsibilities:

• Build and support the company's internal technical platform: Help establish engineering standards and operational practices for a growing ecosystem of internally developed applications and AI-enabled tools. Support internal builders using Claude Code and related AI development environments by providing guidance around source control, modular design, testing, deployment, documentation, and maintainability
• Improve software operations and production reliability: Help implement production-grade operational practices across internal systems, including monitoring, alerting, incident response, deployment workflows, environment management, uptime management, and post-incident review processes
• Own and extend the data platform: Maintain and expand the company’s Azure Fabric Lakehouse architecture across bronze, silver, and gold layers. Build and monitor ingestion pipelines, improve reliability and observability, resolve data quality issues, and help translate business questions into well-modeled reporting datasets and semantic layers
• Support internal analytics and operational stakeholders: Work directly with operational, billing, credentialing, and clinical leadership to support reporting requests, operational tooling, and scalable self-service data access

Requirements:

• 4+ years building and supporting production software systems, data platforms, or cloud infrastructure
• Strong software engineering fundamentals, including Git workflows, testing, modular architecture, debugging, and code review
• Strong SQL and Python skills
• Experience building and maintaining production ETL/ELT pipelines
• Experience working in cloud environments such as Azure, AWS, or GCP
• Comfort operating across both application engineering and data engineering domains
• Experience supporting or deploying internal operational software systems
• Familiarity with modern AI-assisted development workflows and tools such as Claude Code, Copilot, Cursor, or similar environments
• Understanding of security and governance principles for regulated or sensitive data environments
• Strong communication skills and ability to work directly with non-technical stakeholders
• Ability to independently own technical systems end-to-end
• DevOps or infrastructure-as-code experience
• Experience with CI/CD pipelines and production deployment workflows
• SQL Server administration experience
• Experience in healthcare, ABA, EHR/EMR, claims, or other regulated environments
• HIPAA, HITECH, HITRUST, SOC 2, or related compliance exposure