AI & Analytics Engineer

🕒 July 5

🇺🇸 United States – Remote

💵 $125k - $135k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

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Logo of PM Pediatric Care

PM Pediatric Care

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

• Assist in building and enhancing AI-powered applications and agents supporting business workflows • Build user-facing interfaces using React, Vue, Angular, or similar frameworks • Develop backend services and REST or GraphQL APIs integrating AI capabilities into workflows • Develop AI solution components that automate routine tasks and surface insights • Gather stakeholder requirements under senior guidance • Iterate applications based on user feedback and testing results • Provide ongoing Level 3 software product support • Support integration with enterprise systems such as EMR, HRIS, and data platforms • Assist with deployment, testing, and monitoring of AI solutions • 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 into centralized platforms • Validate pipeline output accuracy, completeness, and structure • Develop semantic models, datasets, and dashboards using Power BI and related tools • Apply standardized business metrics and KPI definitions across reports • Optimize queries and data structures • Implement and maintain row-level security and report access controls • Partner with IT, clinical informatics, operations, and business stakeholders • Communicate progress, blockers, and trade-offs to technical and non-technical audiences • Escalate architectural or scope questions to senior engineers • 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 aligned to business requirements • Ability to test, troubleshoot, debug, and ensure reliable application performance across environments • Experience building dashboards, reports, or data pipelines professionally • Experience shipping user-facing applications end-to-end, including frontend and backend components • Proficiency with React, Vue, Angular, or similar frontend frameworks • Proficiency with FastAPI, Django, Express, ASP.NET Core, Spring Boot, or similar backend frameworks • Active GitHub profile or equivalent code portfolio with reviewable code samples required at application • Proficiency with modern software engineering tools, Agile, CI/CD, automated testing, and code review • Daily experience with Git and GitHub or comparable tools, including branching, pull requests, and code review • Working proficiency with SQL and relational data modeling • Experience with Power BI or comparable BI platforms, including DAX and semantic models • Familiarity with ETL/ELT concepts and at least one data integration tool • Exposure to cloud platforms, preferably Azure, and AI/ML services • Comfort working with structured and unstructured data • Strong analytical and problem-solving skills with attention to detail • Willingness to learn from senior engineers and apply feedback • Effective written and verbal communication with technical and non-technical partners • Ability to manage concurrent tasks and meet delivery dates

🏖️ Benefits

• Base salary range of $125,000–$135,000 • Remote work arrangement • Equal employment opportunity

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