AI & Analytics Engineer

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PM Pediatric Care

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

⚕️ Healthcare Insurance

📚 Education

🧘 Wellness

Healthcare Insurance • Education • Wellness

PM Pediatric Care is a healthcare provider specializing in pediatric urgent care and comprehensive behavioral health services for children and young adults aged 5-26. The company offers convenient, top-quality, evidence-based medical care with services that include virtual visits, medication management, and psychiatric services. Additionally, PM Pediatric Care provides educational resources for parents and caregivers and works closely with schools to improve K-12 student outcomes with full-spectrum physical and mental health programs. They also have strategic partnerships with leading health systems and provide professional development for clinicians.

📋 Description

• Assist in building and enhancing AI-powered applications and agents that support business workflows • Develop components of AI solutions that automate routine tasks and surface insights • Gather requirements from stakeholders with guidance from senior team members • Iterate on AI applications based on user feedback and testing results • Provide ongoing Level 3 support for software products • Support integration of AI applications with enterprise systems (e.g., EMR, HRIS, data platforms) under senior direction • Assist with deployment, testing, and monitoring of AI solutions in lower and production environments • Translate documented business requirements into functional workflows • Follow established standards for reliability, security, and code quality • Build and maintain ETL/ELT pipelines that feed analytics and AI use cases • Ingest and transform data from multiple source systems into centralized platforms • Validate accuracy, completeness, and structure of pipeline outputs • Develop and maintain semantic models, datasets, and dashboards (Power BI and related tools) • Apply standardized business metrics and KPI definitions across reports • Optimize queries and data structures for performance and usability • Implement and maintain row-level security and access controls on reports • Partner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needs • Communicate progress, blockers, and trade-offs clearly to both technical and non-technical audiences • Escalate architectural or scope questions to senior engineers • Follow team practices for source control, code review, documentation, and testing • Monitor AI outputs and data pipelines for accuracy and reliability • Support compliance with data security, privacy, and governance standards (HIPAA-aware) • Build technical depth in AI/ML tooling, cloud services, and modern data platforms • Contribute small improvements to existing AI tools, dashboards, and pipelines • Stay current with emerging AI and analytics technologies relevant to healthcare operations

🎯 Requirements

• 2–4 years of experience in data analytics, BI development, data engineering, or software development • Hands-on experience building custom software products, including writing code and delivering end-to-end solutions aligned to business requirements. • Proven ability to conduct testing, troubleshoot and debug issues, and ensure high-quality, reliable application performance across environments. • Hands-on experience building dashboards, reports, or data pipelines in a professional setting • Exposure to AI, machine learning, or workflow automation projects (academic or professional) preferred • Demonstrated proficiency in modern software engineering tools (IDES), practices; including Agile development, CI/CD workflows, automated testing, and code review standards. • Working proficiency with SQL and relational data modeling • Experience with Power BI (or comparable BI platform) including DAX and semantic models • Familiarity with ETL/ELT concepts and at least one data integration tool • Exposure to cloud platforms (Azure preferred) and AI/ML services a plus • Comfort working with both structured and unstructured data.

🏖️ Benefits

• Health insurance • Flexible working arrangements • Professional development opportunities • Paid time off