TL;DR

Senior Data Analytics Engineer (Healthcare): Developing and optimizing data models and analytics solutions for a specialty-specific cloud healthcare platform with an accent on scalable data architecture, Gen AI integration, and enterprise-grade reporting. Focus on designing efficient data models, managing Databricks workspace, and delivering actionable insights across business domains.

Location: Hybrid with offices in Boca Raton, FL and Hyderabad, India, plus remote workforce across the US, Chile, and Germany

Company

%hirify_global% is a leading healthcare IT company focused on modernizing medicine through intelligent, specialty-specific cloud platforms serving multiple medical specialties globally.

What you will do

Collect business requirements and design optimized data models to support business insights
Develop and extend dbt code to enhance the Enterprise Dimensional Model
Manage Databricks workspace and create enterprise-grade reporting and data visualization solutions
Serve as subject matter expert for the Enterprise Data Model and provide cross-team support
Assist with complex data analysis tasks and automate performance metrics
Translate data into actionable stories for internal and external stakeholders

Requirements

Must have experience with cloud platforms such as Azure or AWS (Databricks strongly preferred)
Proficiency in Python and SQL programming languages
5+ years in data roles such as analyst, engineer, or scientist
2+ years experience building data visualization solutions
Experience with business domains like marketing, finance, sales, product, or customer success
Knowledge of data products utilizing Gen AI and experience with dbt cloud preferred

Culture & Benefits

Comprehensive benefits including medical, dental, vision, and insurance coverage in the US and India
Paid parental leave, wellness allowances, and generous paid time off
Professional development opportunities including tuition reimbursement
Hybrid and remote work options with global presence
Onsite perks at US headquarters including catered meals and wellness rooms