Engineer II, Data Platforms

AARP

Engineer II at AARP focusing on data platforms and technical solutions. Collaborating with cross-functional teams to deliver valuable technology-based business solutions.

Posted 7/27/2026full-timeRemote • District of Columbia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and software development, with a strong focus on Python, SQL, and API integration. Proven ability to innovate and improve technical solutions while ensuring robust architecture and effective communication within Agile environments.

Highest-signal resume keywords

Data EngineeringPython DevelopmentAPI IntegrationDevOps PracticesCloud-Native Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationPipeline DevelopmentData ModelingRESTful ServicesJSONCI/CD PipelinesGitObject-Oriented ProgrammingOntology-Based Data EnvironmentsApplication Development

Soft Skills

Strong CommunicationProblem-Solving

Tools & Technologies

AWSSalesforcePowerAppsDatabricks

Industry Keywords

Technical RoadmapIntegrationBusiness ArchitectureAgile EnvironmentsContinuous Improvement

Tech Stack

Tools & technologies

AWSCloudPySparkPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field.
6+ years of experience in data engineering and/or software development.
4+ years of hands-on experience with Python and/or PySpark, and SQL for data transformation, pipeline development, and data modeling.
3+ years of experience developing and integrating APIs (RESTful services, JSON).
Experience with DevOps practices and CI/CD pipelines using Git-based repositories (e.g., GitHub).
Applied experience with cloud-native technologies, including AWS.
Working knowledge of object-oriented and/or ontology-based data environments, and experience building applications/workflows on platforms such as Salesforce, PowerApps, or Databricks.
Strong communication and problem-solving skills, with experience working in Agile environments, contributing to solution design, and supporting production systems, including participation in on-call and after-hours release support as needed.

Benefits

Comp & perks

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
tuition reimbursement