Data Engineer, Enterprise Data, Analytics and Innovation - Remote

Overview

This position offers a unique opportunity to design, build, and maintain robust data infrastructure that drives innovation and analytics across enterprise systems.

In Short

• Design, build, and operate ETL and ELT pipelines using Python and SQL.
• Manage data across Bronze, Silver, and Gold layers of the Medallion architecture.
• Develop schemas, tables, and views optimized for analytics.
• Integrate third-party and product-generated data.
• Collaborate with data science and AI teams.
• Monitor performance and troubleshoot issues.
• Ensure data quality and reliability.
• Enforce data governance, security, and compliance standards.
• Support advanced analytics and predictive insights.
• Work in a collaborative and flexible environment.

Requirements

• Experience in data engineering and analytics.
• Proficiency in Python and SQL.
• Knowledge of ETL and ELT processes.
• Understanding of data governance and security practices.
• Ability to collaborate with cross-functional teams.
• Experience with data platforms and pipeline architectures.
• Strong troubleshooting and optimization skills.
• Experience in healthcare analytics is a plus.
• Ability to work in a fast-paced environment.
• Strong communication skills.

Benefits

• Professional growth opportunities.
• Collaborative and supportive work environment.
• Impact on healthcare and engagement analytics.
• Flexible work arrangements.
• Access to modern data platforms.