Data Engineering Specialist

About the Company

The Association of American Medical Colleges is a not‑for‑profit association dedicated to transforming health care by supporting the entire spectrum of medical education, medical research, and patient care conducted by our member institutions. We are dedicated to the communities we serve and steadfast in our goal to improve the health of all.

• Hybrid Work – Primarily remote roles with the ability to work across the U.S.
• Comprehensive Health & Wellness – Medical, dental, and vision coverage; wellness programs; and fitness reimbursement.
• Generous Time Away – Paid time off, holidays, personal days, sick leave, paid parental leave and short‑ and long‑term disability benefits.
• Retirement & Financial Well‑Being – 403(b) retirement plan with generous employer contributions and financial planning resources.
• Family & Care Support – Backup care for children, elders, and pets, plus resources for families with specialized needs.
• Learning & Purpose – Tuition reimbursement, professional learning and development opportunities and the chance to advance a meaningful mission.

This role is a key member of a centralized data engineering team that supports a wide range of data applications across the organization. The Data Engineer builds and maintains reliable, scalable data pipelines, ensuring consistent, high‑quality data is available for both operational and analytical use. Working closely with cross‑functional teams, the Data Engineer supports data accessibility, integrity, and performance to enable data‑driven decision‑making throughout the business.

• 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, 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.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field. Candidates without the specified degree may qualify with a demonstrated equivalent in professional experience and/or training.
• Preferred:
  Master’s degree in a related field.
• 2–4 years of related work experience in data engineering or a related field, including relevant internships.
• Demonstrated ability to develop and maintain data pipelines in a professional setting.

• Experience designing and building modern, scalable data pipelines in production environments.
• Hands‑on experience with AWS data services such as AWS Glue, Amazon S3, Lambda, and other related tools; 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, following 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.

This position is…