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

DICK'S Sporting Goods

4d•Remote

About The Position

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today! OVERVIEW: Job Purpose: The Data Engineer II – Real Time Analytics is 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. They partner with product, analytics, and engineering teams to ensure accurate, scalable collection of user interaction data. They apply expertise in digital data layers and event schemas to deliver reliable, high-quality datasets that enable customer behavior analysis, product optimization, and data-driven decision making. Knowledge of Adobe tools, including Adobe Analytics and Adobe Experience Platform (AEP) preferred.

Requirements

Experienced practitioner able to work unsupervised (13 months to 3 years)

Nice To Haves

Knowledge of Adobe analytics tools such as AEP and Customer Journey Analytics.
Retail eCommerce behavior and marketing data strategies.

Responsibilities

Behavioral Data Knowledge Understanding of event-based data collection from user interfaces.
Build High‑Quality Pipelines 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.
Ongoing Learning and Development 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.
Development & Delivery Practices 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.