Python Analytics Engineer

<h3>📋 Description</h3> • As a Python Analytics Engineer, own the systems and data models for healthcare data analysis. • Collaborate with analysts, engineers, and business leaders to design scalable data models and workflows. • Build and maintain analytics-ready datasets, data marts, and semantic layers in Snowflake and Postgres. • Write production-quality Python code to automate workflows, data validation, and ETL orchestration. • Optimize SQL transformations and ensure the accuracy, usability, and transparency of data assets. • Partner with infrastructure teams to uphold data quality, integrity, and discoverability across the stack. • Support internal dashboard development with tools like Streamlit or Dash. • Contribute to data engineering best practices—version control, code review, documentation, and CI/CD. <h3>🎯 Requirements</h3> • Strong Python skills, especially in the context of data transformation and workflow automation. • Advanced SQL expertise with experience designing and optimizing data models in Snowflake or Postgres. • Hands-on experience with modern data orchestration tools like DBT and Airflow. • Track record of building analytics-ready datasets, semantic layers, or curated data marts. • Comfort working cross-functionally with product, analytics, and engineering teams. • Familiarity with internal BI and dashboarding frameworks like Streamlit or Dash.