Senior Engineer – Platform & Data

🕒 il y a 1 mois

🌲 North Carolina – Distant

🌲 North Carolina – Remote

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Mosaic Pediatric Therapy

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2018

🏥 Santé

⚕️ Assurance santé

📚 Éducation

Healthcare • Healthcare Insurance • Education

Mosaic Pediatric Therapy est une clinique spécialisée offrant une thérapie ABA (Analyse Comportementale Appliquée) personnalisée pour les enfants autistes. Située en Caroline du Nord et en Virginie, l'entreprise se concentre sur l'amélioration de la qualité de vie des familles en répondant aux objectifs et besoins individuels grâce à des soins experts. L'équipe, qui inclut des analystes du comportement certifiés, est dédiée à maintenir des standards éthiques élevés et à offrir un traitement efficace à leurs clients.

Description

• 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. • 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. • 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. • Work directly with operational, billing, credentialing, and clinical leadership to support reporting requests, operational tooling, and scalable self-service data access.

🎯 Exigences

• 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

🏖️ Avantages

• Competitive salary based on experience • Health, dental, and vision insurance • 401(k) • PTO and paid holidays • Remote-first flexibility • Equipment and tooling support