Senior Data Engineer - Remote

Overview

The Senior Data Engineer role at IQVIA involves leading development efforts and contributing to architectural decisions for a next-generation data platform, focusing on scalable ETL/ELT solutions and high data quality across healthcare datasets.

In Short

• Primarily remote role with occasional in-person meetings.
• Join the Data Architecture and Governance team within IQVIA’s Digital Solutions group.
• Design and develop scalable ETL/ELT solutions and data architectures.
• Optimize Snowflake queries and implement data governance best practices.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Build APIs and integrate with email service providers and HCP data sources.
• Lead development efforts and coordinate with offshore teams.
• Conduct code reviews and ensure adherence to coding standards.
• Support CI/CD processes using tools like Terraform and Airflow.
• Maintain high standards of data quality and integrity across healthcare datasets.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering or similar role.
• Strong proficiency in SQL and query optimization.
• 5+ years of experience with Snowflake and cloud platforms (AWS preferred).
• 3+ years of experience in Python or Java.
• Experience with data pipeline tools (e.g., Apache Airflow, dbt, Kafka, Spark).
• Solid understanding of data modeling, warehousing, and distributed systems.
• Familiarity with CI/CD tools and infrastructure-as-code (e.g., Terraform).
• Preferred: Experience with modern analytics databases (e.g., Redshift, BigQuery).
• Exposure to microservices architecture.

Benefits

• Competitive salary and potential for bonuses.
• Health and welfare benefits.
• Opportunity to work with a diverse and innovative team.
• Professional growth and development opportunities.
• Flexible working environment.