Senior Analytics Engineer — AI-Driven Data Platforms (Hybrid)

ModMed; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Paid time off & parental leave

Tuition reimbursement

Hybrid/Remote options

Dog-friendly HQ

Job summary

ModMed is seeking a Senior Analytics Engineer to join our Data Analytics team. You will turn complex business questions into elegant data models and actionable insights, partnering with stakeholders to shape data as a strategic asset.

You’ll design dimensional data models, maintain dbt pipelines, and collaborate on enterprise dashboards while exploring GenAI opportunities to enhance our data products and drive decisions.

Qualifications

• 5+ years in data engineering, analytics, or related fields with proven analytics delivery.
• Fluency in SQL, dbt, and Python; strong data modeling and storytelling.
• Experience with Databricks on AWS; cloud data sources like Salesforce/NetSuite.

Responsibilities

• Partner with business teams to translate goals into scalable data solutions.
• Design and implement trusted data models (dimensional/star schemas) for analytics and self-service.
• Build and maintain scalable dbt pipelines and dashboards with modern BI tools.
• Explore GenAI/ML opportunities to enhance data products and insights.

Skills

SQL

dbt

Python

Databricks

Generative AI

Cross-domain collaboration

Salesforce

NetSuite

Tools

Databricks

dbt

Salesforce

NetSuite

Job description

ModMed is seeking a Senior Analytics Engineer to join our Data Analytics team. You will turn complex business questions into elegant data models and actionable insights, partnering with stakeholders to shape data as a strategic asset.

You’ll design dimensional data models, maintain dbt pipelines, and collaborate on enterprise dashboards while exploring GenAI opportunities to enhance our data products and drive decisions.