Senior Data Engineer - Remote

Overview

The Senior Data Engineer leads the design and optimization of complex data architectures, ensuring data accuracy, security, and scalability.

In Short

• Design and implement large-scale data architectures and optimize data pipelines daily.
• Monitor data quality and integrity through regular audits and validation processes.
• Mentor junior team members in troubleshooting and best practices during daily check-ins.
• Participate in routine data governance and compliance meetings.

Requirements

• 10+ years of data engineering experience.
• Proficient in SQL, Python, dimensional modeling, and data pipeline design.
• Proven skills in designing scalable systems and strong knowledge of data governance.
• Familiarity with data warehousing concepts and ETL tools.
• Experience with Snowflake Snowpark, Azure Data Factory and Databricks.
• Experience implementing and maintaining Snowflake on Azure.
• Excellent communication and team collaboration abilities.

Benefits

• Work in a next-generation pharmacy benefit manager (PBM) company.
• Engage with innovative technology and AI platforms.
• Collaborate with a team of experienced professionals.
• Opportunity to mentor and guide junior engineers.
• Flexible work arrangements including hybrid or remote options.