Engineer I, Data Platforms

AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age.

With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment.

AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name.

As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin .

Information Technology Services is responsible for AARP enterprise-wide technology and information security functions.

Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network, systems and data.

A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams.

The Engineer I is a technical resource on a platform/capability team responsible for supporting the day-to-day design, implementation, and operational activities of the team.

• Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services.
• Maintaining code repositories and Git-based services, if applicable.
• Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way.
• Collaborating with team to identify technical solutions for business and enterprise needs.
• Developing technical knowledge and expertise related to domain area systems, solutions, services and applications.
• Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field.
• 1+ years of experience developing in Python and SQL, with a strong foundation and a commitment to continuously improving programming expertise.
• Working knowledge of data management principles, data integration processes, and cloud-native technologies.
• Familiarity with DevOps practices and Git-based version control for collaborative development.