Data Engineering Specialist

The Association of American Medical Colleges is a not-for-profit association dedicated to transforming health care by supporting medical education, research, and patient care. The Data Engineering Specialist role focuses on building and maintaining reliable data pipelines, ensuring high-quality data for operational and analytical use while collaborating with cross-functional teams to support data-driven decision-making.

Responsibilities:

• Develop and maintain reliable data pipelines that move and transform data across systems to support business reporting, analytics, and operational processes
• Work with senior engineers and architects to implement data models and contribute to building efficient data warehouse and Lakehouse environments aligned with established architectural standards
• Design and maintain data pipelines with built-in validation checks and automated monitoring to ensure data remains accurate, complete, and consistent throughout its lifecycle
• Collaborate with the testing team to align on quality standards, while embedding data quality practices directly into development workflows
• Engage with peer development teams, analysts, product managers, and business stakeholders to understand data requirements and help deliver data solutions that meet their needs
• Support the execution of data engineering tasks within larger projects, ensuring high-quality implementation under the guidance of senior/lead/principal engineers or project leads
• Follow established data governance, security, and privacy standards, and assist in implementing controls that ensure compliance with organizational policies and regulations

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, or related field. Candidates without the specified degree may qualify with a demonstrated equivalent in professional experience and/or training
• 2 - 4 years of related work experience
• Typically requires 2 - 4 years of experience in data engineering or a related field, which may include relevant internships. Candidates should demonstrate the ability to contribute to the development and maintenance of data pipelines in a professional setting
• Master's degree in a related field
• Experience designing and building modern, scalable data pipelines in production environments
• Hands-on experience working with AWS data services such as AWS Glue, Amazon S3, Lambda, and other related tools, as well as familiarity with Snowflake or similar cloud-based data warehousing solutions
• Experience contributing as part of cross-functional teams on data projects, collaborating with peers and stakeholders to deliver technical solutions
• Familiarity with data governance and compliance best practices, with the ability to follow established frameworks
• Experience working on ETL/ELT pipelines within large or complex data systems, ensuring data quality and reliability
• Demonstrated ability to follow technical direction and contribute to ongoing platform and tooling improvements
• AWS/Snowflake certifications are preferred but not required