Data Engineer

Basic Function of the Position: Contribute to our data transformation initiatives by developing and implementing the infrastructure, pipelines, and processes that power our organization's data-driven operations. This role focuses on technical execution and hands-on development while supporting existing data operations. The ideal candidate combines strong technical expertise with practical implementation skills and can balance immediate operational needs with scalable technical solutions. Critical Duties and Responsibilities: Design, develop, and maintain scalable data pipelines for collecting, processing, and storing organizational data Build and implement modern data infrastructure leveraging cloud technologies (preferably AWS) Integrate disparate data sources through API connections and automated workflows Work with business requirements and technical specifications to develop implementation solutions Contribute to technical data projects from development through implementation and maintenance Implement data quality controls, monitoring systems, and alert mechanisms Automate manual data processes to improve efficiency and reliability Implement appropriate data governance and security measures Collaborate with team members and work closely with the BI Analyst on technical implementations Work with existing tools and technologies in the data ecosystem and contribute to tool evaluations Collaborate on special projects to address emerging organizational data needs Perform other duties as required by business needs Work Experience: 2-4 years of experience in data engineering, software development, or related technical roles Previous association/trade show experience a plus Education/Training: Bachelor's degree preferred, computer science, information systems, or related field (or equivalent experience) Skills/Capabilities/Technical: Strong proficiency in SQL (multiple dialects) with ability to optimize complex queries Experience with Python for data processing, automation, and integration Demonstrated experience building and maintaining data pipelines Experience integrating systems through APIs and web services Knowledge of data modeling and database design principles Ability to apply technical best practices to meet business requirements Must possess good organizational skills, be resourceful and have attention for detail Demonstrated ability to efficiently handle multiple priorities in a fast-paced, change oriented environment Must have excellent communication skills, be customer/team oriented and have the ability to work with all staff levels Must have a can-do, positive attitude Additional Relevant Skills: Experience with AWS or other cloud platforms (especially data services) Familiarity with containerization and orchestration technologies Knowledge of modern data warehouse architectures and implementations Experience with data streaming technologies Familiarity with business intelligence and visualization tools Background in agile development methodologies Previous experience in non-profit or association environments Additional Information: Travel to CES in January.