Data Engineer II - Real-Time Behavioral… at DICK'S… · Remote

Summary: 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 Required Qualifications: - 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) Preferred Qualifications: - Knowledge of Adobe tools, including Adobe Analytics and Adobe Experience Platform (AEP) Required Skills: SQL, Python, Databricks/Spark Important Skills: Adobe Analytics, Event-based data collection Nice-to-Have Skills: Agile methodologies, CI/CD, Source control Benefits: Incentive, Equity, Benefits