Data Quality Engineer - Remote

Overview

Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The company’s comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback’s clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ.

In Short

• Seeking a skilled and detail-oriented Data Quality Engineer.
• Responsible for ensuring the accuracy, completeness, and reliability of data assets.
• Requires strong understanding of data quality concepts.
• Hands-on experience with Python, Databricks, and ideally Snowflake.
• Enforce and maintain robust data quality standards and protocols.
• Monitor and evaluate data quality metrics.
• Collaborate with technical and non-technical teams.
• Develop and implement data quality assurance processes.
• Automate data quality monitoring and validation processes.
• Stay up-to-date with industry trends related to data quality management.

Requirements

• Deep understanding of data management principles.
• 3-5 years experience with relational and NoSQL databases.
• Bachelor's or Master's degree in relevant fields.
• Experience with healthcare data management.
• Strong proficiency in Python.
• Hands-on experience with Databricks.
• Familiarity with Snowflake is a plus.
• Solid understanding of data quality concepts and best practices.
• Experience with data profiling tools.

Benefits

• Opportunity to work with leading health systems and life sciences organizations.
• Collaborative work environment.
• Professional development opportunities.
• Flexible work arrangements.
• Competitive salary and benefits package.