AI & Analytics Engineer

Ohio Chapter, American Academy of Pediatrics (Ohio AAP)

AI & Analytics Engineer developing and enhancing AI-powered applications and data solutions for operational efficiency. Collaborating with stakeholders and ensuring high-quality project delivery across the organization.

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 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
Build and maintain ETL/ELT pipelines that feed analytics and AI use cases
Develop and maintain semantic models, datasets, and dashboards (Power BI and related tools)
Partner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needs
Follow team practices for source control, code review, documentation, and testing
Monitor AI outputs and data pipelines for accuracy and reliability

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, 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

Comp & perks

Health insurance
Professional development
Paid time off

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsBI developmentdata engineeringsoftware developmentSQLETLELTDAXsemantic modelsAI solutions

Soft Skills

stakeholder engagementtroubleshootingdebugginghigh-quality application performanceuser feedback iterationcollaborationcommunication