Data Engineer

About The Company

AARP is the nation’s largest nonprofit, nonpartisan organization dedicated to empowering individuals aged 50 and older to live as they choose as they age. With a mission focused on enhancing quality of life and advocating for the needs of mature Americans, AARP leverages innovative strategies and data-driven insights to influence policy, provide valuable resources, and deliver impactful programs. The organization is committed to fostering an inclusive environment that supports diversity and equal opportunity, ensuring that all members of the community are represented and valued.

About The Role

The Enterprise Data Engineer at AARP plays a critical role in designing, developing, and maintaining scalable data pipelines and infrastructure that support the organization’s data analytics and decision-making processes. This position involves partnering with cross-functional teams to translate complex business requirements into robust technical solutions. The Data Engineer will establish a technical roadmap for data platforms, ensuring seamless integration, security, and performance. They will be responsible for troubleshooting technical issues, optimizing data workflows, and driving continuous improvement initiatives. The role offers an exciting opportunity to work within a mission-driven organization, leveraging advanced data technologies to impact millions of lives by enabling data-driven strategies and insights.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Minimum of 3+ years of hands-on experience in designing, building, and maintaining large-scale data pipelines and infrastructure
• Proficiency in SQL and Python, including frameworks such as Databricks, PySpark, or similar
• Experience with Big Data technologies like Spark, Hadoop, Delta Lake, or other distributed data processing frameworks
• Strong understanding of data integration methods including ETL/ELT, APIs, streaming, and batch processing
• Knowledge of data modeling, performance tuning, and scalability for analytics and reporting
• Familiarity with modern cloud data platforms such as Databricks, AWS, Azure, or GCP
• Effective communication skills, both verbal and written
• Ability to work independently with sound judgment and decision-making skills
• Reliable attendance and professionalism in an in-office or hybrid environment

Responsibilities

• Establish a technical roadmap for data platforms, considering value-based outcomes, supportability, and performance
• Design, develop, and optimize data pipelines and integrations to support analytics and business intelligence initiatives
• Ensure robust data security, integration, and architecture design throughout all project phases
• Provide rapid development and delivery of technical solutions aligned with organizational goals
• Troubleshoot and resolve technical issues related to data systems, pipelines, and services
• Drive continuous process improvements based on user feedback and enterprise objectives
• Participate in communities of interest and knowledge sharing with engineering teams across capabilities
• Maintain deep technical expertise in domain-specific systems, solutions, and applications
• Collaborate with stakeholders to understand business needs and translate them into scalable technical solutions

Benefits

• Competitive salary and comprehensive benefits package
• 401(k) retirement plan with company matching
• 100% company-funded pension plan
• Health, dental, and vision insurance coverage
• Life insurance and disability benefits
• Paid time off including holidays, vacation, sick leave, and parental leave
• Performance-based and peer recognition programs
• Tuition reimbursement for professional development
• Flexible hybrid work environment with remote work options within the United States

Equal Opportunity

AARP is an equal opportunity employer committed to creating a diverse and inclusive workplace. We do not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or any other characteristic protected by law.