Senior Data Engineer - Real-Time AI Data Pipelines

Burlington Coat Factory Whse. Corp.; United States; On-site; USD 80,000 - 105,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan

Paid time off and holidays

Job summary

Burlington Stores, Inc. is seeking a Senior Data Engineer to join the Enterprise Data and Analytics team. You will design, build, and scale ETL pipelines, pull data from internal and external sources, and prepare it for advanced analytics, segmentation, and AI/ML initiatives.

This role focuses on real-time data ingestion, data warehousing, and cloud platforms like Snowflake and Azure. Strong SQL, data modeling, and communication skills are essential as you mentor teammates and collaborate with

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Informatics, or related areas.
• 5+ years designing and implementing large-scale data loading, processing, and analytics solutions.
• Extensive experience with SQL-based data processing and data architectures (data warehouse, lakes, marts).

Responsibilities

• Design and implement ETL/ELT pipelines from multiple sources for analytics and AI/ML use.
• Lead real-time data ingestion and scalable data pipelines.
• Collaborate with data scientists, cloud engineers, and analytics translators on data solutions.
• Mentor junior team members and advocate best practices in data management.
• Provide input to data architecture and cloud data platform enhancements.

Skills

Data wrangling

Advanced SQL

First/third party data

Agile development

Data governance

Excellent communication

AI in data workflows

Strategic thinking

Data management principles

Cloud data platforms

Education

Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics

Tools

Snowflake

Oracle DB

Azure Data Lake Storage (ADLS)

GitHub / CI/CD

Job description

Burlington Stores, Inc. is seeking a Senior Data Engineer to join the Enterprise Data and Analytics team. You will design, build, and scale ETL pipelines, pull data from internal and external sources, and prepare it for advanced analytics, segmentation, and AI/ML initiatives.

This role focuses on real-time data ingestion, data warehousing, and cloud platforms like Snowflake and Azure. Strong SQL, data modeling, and communication skills are essential as you mentor teammates and collaborate with