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ModMed - Senior Data Analytics Engineer - SQL/Python

Posted on: 04/08/2025

Job Description

Analytics Engineers :

Analytics Engineers bridge the gap between business and technical teams by creating trusted, scalable, and efficient data models and products.

A successful Analytics Engineer can combine his/her technical expertise with business acumen to deliver actionable insights.

Your Role :

- As a team member responsible for helping to blend business-critical data needs with technical solutions, the Analytics Engineer role requires acumen in both domains.

- Collect business requirements and design highly optimized data models.

- Identify performance metrics definition and automation opportunities.

- Build trust through data conversion to data stories for internal and external consumption.

- Serve as the subject matter expert for the Enterprise Data Model

- Design, develop, and extend dbt code to enhance the Enterprise Dimensional Model.

- Create and maintain architecture and systems documentation.

- Provide cross-team support for CRM and Marketing teams.

- Assist with complex data analysis tasks.

- Implement the DataOps philosophy in everything you do.

- Create enterprise-grade reporting/data visualization solutions.

- Manage Databricks work space.

Skills & Requirements :

- Experience with cloud platforms such as Azure or AWS is a Mandatory (Databricks strongly preferred)

- Technical knowledge of data systems and curiosity to solve business problems.

- Understanding and curiosity about data products utilizing Gen AI.

- Track record with optimal data model development to drive business insights (experience with dbt cloud strongly preferred)

- Knowledge of programming languages such as Python and SQL is Mandatory.

- Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people.

- Experience with extracting and transforming data from cloud-native sources (Salesforce, NetSuite)

- 5+ years in the Data space as an analyst, engineer, scientist, or equivalent

- 2+ years managing/building data visualization solutions


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