Senior Data Engineer

Position Overview

Come join our growing team of data practitioners and be on the leading edge of Burlington’s digital transformation! Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering. At Burlington you will have the opportunity to work with the latest technologies in a goal-oriented environment. The Senior Data Engineer is a member of the Enterprise Data and Analytics team supporting business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from analyzing Burlington and external data. The successful candidate will have strong experience pulling data from various internal and external data sources and preparing it for advanced analytics, segmentation, and modeling. Must have strong interpersonal and relationship building skills as well as written and verbal communication skills.

A Day In The Life

• Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle it for advanced analytics activities and AI/ML and GenAI uses.
• Guide and lead development of data pipelines to enable real-time, high volume, data consumption.
• Leverage data engineering best practices and tools in collaboration with analytics translators, data scientists, and cloud engineers
• Assist with researching first and third-party data sources to enable access and ensure availability of relevant data sources for those who need it
• Provide input to cloud engineers for the design and implementation of data management and/or architecture solutions
• Provide ongoing operational support for ETL/ELT environments including development, test, and production
• Design, implement, and deploy data loaders to load data into the cloud data platform
• Assist in pulling, filtering, tagging, joining, parsing, and normalizing data sets for use
• Mentoring junior members of the team

You'll Come With

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