Responsible for the design, development, and maintenance of data pipelines that capture and process event-based data generated across web and native application user interfaces
Partner with product, analytics, and engineering teams to ensure accurate, scalable collection of user interaction data
Deliver reliable, high-quality datasets that enable customer behavior analysis, product optimization, and data-driven decision making
Manage source control and implement CI/CD for high-quality, maintainable software delivery
Collaborate with analysts, product managers, marketing teams, data scientists, vendor teams, and other engineers

Bachelor's Degree or equivalent level preferred
Experienced practitioner able to work unsupervised (13 months to 3 years)
Knowledge of Adobe tools, including Adobe Analytics and Adobe Experience Platform (AEP) preferred
Understanding of event-based data collection from user interfaces
Knowledge of Adobe analytics tools such as AEP and Customer Journey Analytics
Retail eCommerce behavior and marketing data strategies
Develop reliable data pipelines using SQL, Python, Databricks/Spark
Improve and modernize existing pipelines for clarity, performance, and maintainability
Understands resilient, scalable systems, cloud cost optimization, and security
Actively develops capabilities through assessments, training, coaching, and professional accreditation
Applies agile methodologies and strong coding standards

Data Engineer II – Real-Time Behavioral Analytics

Key skills