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Data Engineering Specialist

Association of American Medical Colleges -
Washington, DC

Apply Now

Job Details

Full-time
$95,795 - $112,700 a year

Benefits

Paid parental leave
Paid holidays
Health insurance
Dental insurance
Financial planning services
Tuition reimbursement
Paid time off
Parental leave
Vision insurance
403(b)
Gym membership

Qualifications

Data integrity assurance
Data model design
Commercial use (data warehousing systems)
Data Integration (Data management)
Computer Science
Cloud data warehouses
Data modeling projects
Data validation techniques
Tooling
AWS Certification
Mid-level
Scalable systems
Schema design
Snowflake
Master's degree
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Production systems
Collaboration with product development teams
ETL process automation
Bachelor's degree
Data integrity process (data warehousing)
AWS Glue
Data protection regulation compliance
Scalability
Monitoring system implementation
S3
Quality check automation
Serverless cloud services
1 year

Full Job Description

Who We Are:

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.

At the AAMC, we are committed to supporting our employees with a comprehensive and competitive benefits package designed to promote well-being, professional development, and work-life balance.

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.

Additional information can be found on our website.

Why us, why now?

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 pipeline, 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.

What you will bring to the role

Required 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
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.

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.

If a bachelor’s degree is required, related work experience may be substituted in some positions. One year of college course work at an accredited institution is equivalent to one year of related work experience.

The AAMC is an 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. The AAMC is committed to the full inclusion of all qualified individuals. As part of this commitment, the AAMC will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact the talent acquisition team.

Please attach a resume as part of the application process. It is important that files DO NOT include periods ( . ) within the file name.

BROWSER REQUIREMENTS: Applications must be submitted using Chrome, Mozilla Firefox, Safari, or Microsoft Edge.

Apply Now

Refine Your Search

Etl Data Analyst jobs in Reston, VA

Data Engineering Specialist

Senior Data/Visualization Engineer

Software Engineer

Lead Data Engineer

Data Engineer

Senior Data Analyst with Informatica

Test Automation Developer â ETL/API/Rules

Senior Agentic AI/ML Engineer

Senior Agentic AI/ML Engineer

Senior Data Platform Operations Engineer

Data Developer

Data Scientist

Systems Data Engineering and Integrator

Data Analyst/QA Engineer

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Junior Data Engineer

Business/Data Analyst

Data Lineage Analyst

Junior Data Analyst/BI Analyst

Data Analyst - Mid

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