Senior Data Analytics Engineer

Overview

Senior Analytics Engineer on ModMed's Data Analytics team, turning complex business questions into data models and actionable insights in a Healthcare IT environment.

What you'll do

• Partner with business teams to understand their goals and translate them into scalable data solutions.
• Design and implement trusted data models (dimensional/star schemas) to support self-service analytics and decision-making.
• Translate raw data into intuitive stories, metrics, and visualizations that inspire action.
• Drive adoption of the Enterprise Data Model; build, extend, and maintain scalable dbt pipelines.
• Explore GenAI and ML opportunities to enhance data products.
• Support CRM, marketing, and customer-facing teams with custom analytics solutions.
• Contribute to the DataOps culture by championing reliability, reproducibility, and automation across the stack.
• Collaborate on enterprise-grade dashboards and visualizations using modern BI tools.
• Manage and optimize the Databricks environment.

What you'll need

• 5+ years of experience in data engineering, analytics, or related fields, with a proven ability to build and evolve analytics solutions.
• Fluency in SQL and dbt.
• Experience working with Databricks.
• Demonstrated ability to work across business domains (marketing, product, finance, sales, customer success, etc.).
• Clear, compelling communication, both technical and business-facing.
• A product mindset and a passion for continuous learning.

Nice to have

• Fluency in Python.
• Experience with Databricks on AWS.
• Curiosity about Generative AI, data products, and how emerging tools can drive business value.
• Experience with cloud-native data sources such as Salesforce or NetSuite.

Details

• Location: Remote - USA.
• Hybrid office-based roles and remote availability for some roles, per the company benefits summary.