Data Engineer II - Real-Time Behavioral Analytics (REMOTE)

DICK’S Sporting Goods is committed to creating an inclusive and diverse workforce that reflects the communities they serve. The Data Engineer II – Real-Time Behavioral Analytics is responsible for designing, developing, and maintaining data pipelines to process event-based data, ensuring accurate and scalable collection of user interaction data for customer behavior analysis and product optimization.

Responsibilities:

• 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
• Add tests, documentation, lineage, and observability to strengthen trust
• Understands resilient, scalable systems, cloud cost optimization, and security
• Actively develops capabilities through assessments, training, coaching, and professional accreditation
• Maintains awareness of relevant technologies, regulations, and industry best practices through continuous education, conferences, and media
• Applies agile methodologies and strong coding standards
• Manages source control and implements CI/CD for high-quality, maintainable software delivery
• Collaborates with analysts, product managers, marketing teams, data scientists, vendor teams, and other engineers

Requirements:

• 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
• Add tests, documentation, lineage, and observability to strengthen trust
• Understands resilient, scalable systems, cloud cost optimization, and security
• Actively develops capabilities through assessments, training, coaching, and professional accreditation
• Maintains awareness of relevant technologies, regulations, and industry best practices through continuous education, conferences, and media
• Applies agile methodologies and strong coding standards
• Manages source control and implements CI/CD for high-quality, maintainable software delivery
• Collaborates 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)