Senior Analytics Engineer: AI-Driven Data Modeling

Modernizing Medicine, Inc.; Town of Florida (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits including HSA

401(k) with company match

Paid time off & parental leave

Wellness & development programs

Hybrid/remote flexibility

Job summary

Modernizing Medicine, Inc. is seeking a Senior Analytics Engineer to join the Data Analytics team in a fast-paced healthcare IT environment.

You will turn complex business questions into elegant data models and actionable insights, partnering with stakeholders to drive data-driven decisions and innovation. You will design scalable data models, build dbt pipelines, and explore GenAI opportunities to enhance our data products, while supporting enterprise dashboards and Databricks workflows across

Qualifications

• 5+ years of experience in data analytics, data engineering, or related fields.
• Experience designing scalable data models and dashboards for business insights.
• Familiarity with cloud data platforms and BI tools.

Responsibilities

• Partner with business teams to translate goals into scalable data solutions.
• Design and implement trusted data models (dimensional/star schemas).
• Build and maintain dbt pipelines and Databricks notebooks.
• Explore GenAI and ML opportunities to enhance data products.
• Support CRM, marketing, and customer-facing analytics.
• Collaborate on enterprise dashboards and visualizations.

Skills

SQL

dbt

Python

Databricks

Generative AI

Salesforce

Cross-domain collaboration

Communication

Tools

DBT

Databricks

Salesforce

Job description

Modernizing Medicine, Inc. is seeking a Senior Analytics Engineer to join the Data Analytics team in a fast-paced healthcare IT environment.

You will turn complex business questions into elegant data models and actionable insights, partnering with stakeholders to drive data-driven decisions and innovation. You will design scalable data models, build dbt pipelines, and explore GenAI opportunities to enhance our data products, while supporting enterprise dashboards and Databricks workflows across