Senior Engineer – Platform & Data

Mosaic Pediatric Therapy

Senior Engineer developing scalable internal technology solutions for Mosaic Pediatric Therapy. Overseeing software engineering standards and supporting AI-assisted development practices in a growing tech ecosystem.

Posted 7/6/2026full-timeRemote • North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and supporting production software systems and data platforms, with strong skills in SQL, Python, and cloud environments like Azure. Capable of implementing operational practices and collaborating with non-technical stakeholders to enhance data accessibility and reporting.

Highest-signal resume keywords

Production Software Systems SupportSQL ProficiencyPython ProgrammingCloud Environment ExperienceETL/ELT Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsGit WorkflowsModular ArchitectureDebuggingCode ReviewData Quality ResolutionMonitoring and AlertingIncident ResponseOperational Software SystemsAI-Assisted Development Workflows

Soft Skills

Strong Communication SkillsCollaboration with Non-Technical Stakeholders

Tools & Technologies

Claude CodeAzure Fabric LakehouseETL/ELT ToolsAWSGCP

Industry Keywords

Data GovernanceSensitive Data EnvironmentsOperational PracticesSelf-Service Data AccessReporting Datasets

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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