AARP
Overview
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.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The
Enterprise Data Engineer
partners with cross-functional teams and stakeholders to translate business requirements into scalable data solutions. This role is responsible for uncovering the underlying needs behind feature requests and recommending effective technical approaches. The engineer designs, builds, and optimizes data pipelines and integrations that enable reliable analytics and decision-making. In addition, they collaborate with technical teams to deliver projects, provide ongoing support, and work with leadership to streamline data processes and develop procedures that enhance business outcomes.
Responsibilities
Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance. Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle. Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes. Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services. Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer/employee experiences or other enterprise objectives/outcomes. Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based business solutions. Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications. Qualifications
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience. 3+ years of hands-on experience designing, building, and maintaining data pipelines and large-scale data infrastructure in a technical business environment. Strong proficiency in SQL and Python (Databricks, PySpark, or similar frameworks). Experience with Big Data technologies (Spark, Hadoop, Delta Lake, or other distributed data processing frameworks). Skilled in data integration (ETL/ELT, APIs, streaming, and batch processing) and working with structured/unstructured datasets. Practical background in data modeling, performance optimization, and scalability for analytics and reporting. Knowledge of modern cloud data platforms (Databricks, AWS, Azure, or GCP preferred). AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance Effective verbal and written communication skills Exhibit respect and understanding of others to maintain professional relationships Independent judgement in evaluation options to make sound decisions In office/open office environment with the ability to work effectively surrounded by moderate noise
Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.
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.
Data & Analytics leverages business intelligence gained through advanced data analytics in order to maximize AARP's marketing and communications results. This includes using data science, data engineering, predictive modeling, and market analytics to guide data driven decision making.
The
Enterprise Data Engineer
partners with cross-functional teams and stakeholders to translate business requirements into scalable data solutions. This role is responsible for uncovering the underlying needs behind feature requests and recommending effective technical approaches. The engineer designs, builds, and optimizes data pipelines and integrations that enable reliable analytics and decision-making. In addition, they collaborate with technical teams to deliver projects, provide ongoing support, and work with leadership to streamline data processes and develop procedures that enhance business outcomes.
Responsibilities
Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance. Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle. Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes. Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services. Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer/employee experiences or other enterprise objectives/outcomes. Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based business solutions. Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications. Qualifications
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience. 3+ years of hands-on experience designing, building, and maintaining data pipelines and large-scale data infrastructure in a technical business environment. Strong proficiency in SQL and Python (Databricks, PySpark, or similar frameworks). Experience with Big Data technologies (Spark, Hadoop, Delta Lake, or other distributed data processing frameworks). Skilled in data integration (ETL/ELT, APIs, streaming, and batch processing) and working with structured/unstructured datasets. Practical background in data modeling, performance optimization, and scalability for analytics and reporting. Knowledge of modern cloud data platforms (Databricks, AWS, Azure, or GCP preferred). AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance Effective verbal and written communication skills Exhibit respect and understanding of others to maintain professional relationships Independent judgement in evaluation options to make sound decisions In office/open office environment with the ability to work effectively surrounded by moderate noise
Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.