Data Engineering Specialist

Role Description

The Data Engineer is a key role on a centralized data engineering team that supports a wide range of data applications across the organization. This role focuses on building and maintaining 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 helps support data accessibility, integrity, and performance, enabling data-driven decision-making throughout the business.

How you will make an impact?

• Build and Maintain Data Pipelines: Develop and maintain reliable data pipelines that move and transform data across systems to support business reporting, analytics, and operational processes.
• Support Data Architecture and Modeling: 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.
• Ensure Data Quality Through Automated and Embedded Practices: 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.
• Collaborate Across Teams: Engage with peer development teams, analysts, product managers, and business stakeholders to understand data requirements and help deliver data solutions that meet their needs.
• Contribute to Data Project Delivery: 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.
• Ensure Data Governance and Security Compliance: Follow established data governance, security, and privacy standards, and assist in implementing controls that ensure compliance with organizational policies and regulations.

Qualifications

• Minimum Education: 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.
• Preferred Education: Master’s degree in a related field.
• Experience: 2 - 4 years of related work experience in data engineering or a related field, which may include relevant internships.
• Preferred Experience:
  • 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.
• Certifications: AWS/Snowflake certifications are preferred but not required.

Remote Work Eligibility

This position is eligible for remote work in the contiguous US.

Compensation Grade Range

$95,795.00-$112,700.00. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors may include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, as well as internal equity, market, and business considerations.

Benefits

• 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.

Equal Opportunity Employer

The AAMC is committed to an Equal Employment Opportunity policy in recruitment, hiring, career advancement, and all other personnel practices. The AAMC will not discriminate on the basis of race, color, sex, national origin, religion, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, past or current military service, or any other legally protected characteristic.