AI & Analytics Engineer

PM Pediatric Care

AI & Analytics Engineer at PM Pediatric Care developing AI applications and data pipelines. Supporting operational efficiency and decision-making through data analytics and AI solutions.

Posted 6/17/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $125,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

Assist in building and enhancing AI-powered applications
Develop components of AI solutions that automate routine tasks
Gather requirements from stakeholders with guidance from senior team members
Support integration of AI applications with enterprise systems
Build and maintain ETL/ELT pipelines that feed analytics and AI use cases
Develop and maintain semantic models, datasets, and dashboards
Communicate progress, blockers, and trade-offs clearly to both technical and non-technical audiences
Follow team practices for source control, code review, documentation, and testing
Build technical depth in AI/ML tooling, cloud services, and modern data platforms

Requirements

What you’ll need

2–4 years of experience in data analytics, BI development, data engineering, or software development
Hands-on experience building custom software products
Proven ability to conduct testing, troubleshoot and debug issues
Hands-on experience building dashboards, reports, or data pipelines
Exposure to AI, machine learning, or workflow automation projects preferred
Demonstrated proficiency in modern software engineering tools
Working proficiency with SQL and relational data modeling
Experience with Power BI 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

Benefits

Comp & perks

Health insurance
Professional development
Flexible work arrangements
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI applicationsETLELTdata analyticsBI developmentdata engineeringSQLDAXdata integrationrelational data modeling

Soft Skills

communicationtroubleshootingdebuggingstakeholder engagementteam collaborationproblem-solvingadaptabilitytechnical depth