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Remote - United States, United States of America
Remote only
It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Core Responsibilities
AI Applications Development
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
AI Integration & Delivery
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
Data Engineering & Pipeline Development
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
Analytics & Data Modeling
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
Cross-Functional Collaboration
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
Engineering Standards & Quality
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)
Continuous Learning & Improvement
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
Scope & Impact
Contributes directly to AI application and analytics delivery used across business operations
Expands team throughput on AI applications, dashboards, and insight distribution
Operates under the technical direction of the AI & Analytics Engineer II and Senior Director of AI, Data, & Enterprise Applications
Success Metrics
Volume and quality of analytics and AI deliverables completed
Reliability and performance of owned pipelines and reports
Reduction in backlog for analytics and AI requests
Growth in technical proficiency over the first 12–18 months
Stakeholder satisfaction with delivered solutions
Target Compensation: 125k - 135k
The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.
Qualifications
Experience
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
Technical & Functional Expertise
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
Competencies
Strong analytical and problem-solving skills with attention to detail
Willingness to learn from senior engineers and apply feedback quickly
Effective written and verbal communication with technical and non-technical partners
Ability to manage multiple concurrent tasks and meet committed delivery dates
Healthcare or pediatrics domain interest is a plus
Compensation:
Role DependentThe salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications.
PM Pediatric Care is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status or any other characteristic protected by law.