[Remote] Data Engineer II - Real-Time Behavioral Analytics (REMOTE)

Note: The job is a remote job and is open to candidates in USA. 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

Skills

• 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)

Benefits

• Incentive
• Equity
• Benefits

Company Overview

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