Senior Analytics Engineer: AI‑Driven Data Solutions (Hybrid)

ModMed; Tallahassee (FL); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive benefits

401(k) matching

Paid Time Off

Tuition reimbursement

Hybrid/Remote options

Dog-friendly HQ

Job summary

ModMed in Boca Raton, FL is seeking a Senior Analytics Engineer to turn complex business questions into elegant data models and actionable insights within a fast-paced Healthcare IT environment. You will partner with stakeholders across marketing, product, finance, and sales to shape data into strategic assets, driving analytics and AI-powered decision making.

This hands-on role emphasizes reliability, reproducibility, and scalable pipelines, with opportunities to influence enterprise dashboards

Qualifications

• 5+ years in data engineering, analytics, or related fields.
• Fluency in SQL, dbt, and Python.
• Experience with Databricks (AWS preferred).
• Strong cross-domain collaboration and communication.

Responsibilities

• Partner with business teams to translate goals into scalable data solutions.
• Design and implement trusted data models (dimensional/star schemas).
• Turn raw data into intuitive metrics and visuals for action.
• Drive adoption of the Enterprise Data Model and maintain dbt pipelines.
• Explore GenAI/ML opportunities to enhance data products.
• Support CRM, marketing, and customer-facing analytics needs.
• Champion data reliability, reproducibility, and automation across the stack.
• Collaborate on enterprise dashboards and BI tooling.
• Manage and optimize Databricks environments.

Skills

SQL

dbt

Python

Databricks

Cloud (AWS)

Data Modeling

Communication

Education

Bachelor's degree in a data-related field

Tools

Databricks

dbt

Salesforce

NetSuite

Job description

ModMed in Boca Raton, FL is seeking a Senior Analytics Engineer to turn complex business questions into elegant data models and actionable insights within a fast-paced Healthcare IT environment. You will partner with stakeholders across marketing, product, finance, and sales to shape data into strategic assets, driving analytics and AI-powered decision making.

This hands-on role emphasizes reliability, reproducibility, and scalable pipelines, with opportunities to influence enterprise dashboards