Data Engineer II

Overview

Data Engineer II role focused on designing and implementing Azure-based data integration and ETL/ELT solutions, building scalable data pipelines, and supporting data management and governance in regulated environments.

What you'll do

• Design and implement ETL/ELT solutions using Azure data integration technologies.
• Develop and optimize complex SQL queries in Azure or other relational databases.
• Translate business requirements into scalable technical solutions.
• Troubleshoot complex data and system issues.
• Collaborate across teams to implement data management frameworks and governance standards.
• Support data management and governance in regulated and compliance-driven client environments.

What you'll need

• 5+ years of experience in database development, MDM, and data integration initiatives.
• 5+ years hands-on experience designing and implementing ETL/ELT solutions with Azure Data Factory, Azure Functions, Logic Apps, and Azure Databricks.
• Strong expertise in Azure Databricks and PySpark for scalable, high-performance data pipelines.
• Proficient SQL development experience writing, optimizing, and troubleshooting complex queries.
• Solid understanding of SDLC best practices and CI/CD with Azure DevOps/GitHub integration.
• Experience supporting multiple clients in regulated and compliance-driven environments.

Nice to have

• Bachelor’s degree in computer science, IT, engineering, or related field.
• Experience supporting data management and analytics initiatives for pharmaceutical or life sciences organizations.
• Experience with Salesforce, Veeva CRM, or similar CRM platforms.
• Knowledge of Pharmaceutical and Life Sciences data ecosystems.
• Azure Data Engineer certifications such as DP-203 and/or DP-700.