AI & Analytics Engineer

🕒 July 5

🇺🇸 United States – Remote

💵 $125k - $135k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PM Pediatric Care

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

🏥 Healthcare

⚕️ Healthcare Insurance

📚 Education

Healthcare • Healthcare Insurance • Education

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

• Build and enhance AI-powered applications and agents supporting business workflows • Build user-facing interfaces with modern frontend frameworks • Develop backend services and REST or GraphQL APIs integrating AI capabilities • Develop AI solution components that automate routine tasks and surface insights • Gather stakeholder requirements with senior-team guidance • Iterate applications based on feedback and testing results • Provide ongoing Level 3 software-product support • Integrate AI applications with enterprise systems such as EMR, HRIS, and data platforms • Assist with deployment, testing, and monitoring in lower and production environments • Translate documented business requirements into functional workflows • Build and maintain ETL/ELT pipelines for analytics and AI use cases • Ingest and transform data from multiple source systems • Validate pipeline output accuracy, completeness, and structure • Develop semantic models, datasets, and Power BI dashboards • Apply standardized metrics and KPI definitions • Optimize queries and data structures • Implement row-level security and access controls • Partner with IT, clinical informatics, operations, and business stakeholders • Communicate progress, blockers, and trade-offs • Follow source control, code review, documentation, and testing practices • Monitor AI outputs and data pipelines for accuracy and reliability • Support data security, privacy, governance, and HIPAA-aware compliance • Contribute improvements to AI tools, dashboards, and pipelines • Stay current with AI and analytics technologies relevant to healthcare operations

🎯 Requirements

• 2–4 years of experience in data analytics, BI development, data engineering, or software development • Experience building custom software products and delivering end-to-end solutions • Experience testing, troubleshooting, debugging, and ensuring reliable application performance • Experience building dashboards, reports, or data pipelines professionally • Experience shipping user-facing frontend and backend applications end-to-end • Proficiency with React, Vue, Angular, or similar frontend framework • Proficiency with FastAPI, Django, Express, ASP.NET Core, Spring Boot, or similar backend framework • Active GitHub profile or equivalent code portfolio with reviewable code samples required at application • Proficiency with modern software engineering tools and practices, Agile, CI/CD, automated testing, and code review • Daily experience with Git and GitHub or comparable tools • 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 • Exposure to AI/ML services is a plus • Comfort working with structured and unstructured data • Strong analytical and problem-solving skills • Effective written and verbal communication • Ability to manage concurrent tasks and meet delivery dates

🏖️ Benefits

• Remote work arrangement • Professional growth and technical proficiency development • Opportunity to contribute to AI, analytics, and healthcare technology initiatives