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.

About the Role

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.

Responsibilities

• 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.
• Aid in 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.
• Assist with 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.
• Mentor junior members of the team.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science / Engineering, Informatics, or related areas.
• Experience: 5+ years of experience in designing and implementing large scale data loading, manipulation, processing, analysis, and exploration solutions.
• Extensive experience developing SQL based data processing.
• 5+ years of experience with Data Architecture, Data Warehouse, Lake Houses, Data Lake, Data Marts and Data Stores with focus on AI/ML techniques and LLMs.
• Experience with Snowflake and Oracle Databases as well as Azure and ADLS.
• Experience in development & provisioning RESTful APIs to enable real-time data consumption.
• Experience with source control tools such as GitHub and related CI/CD processes.

Skills and Abilities

• Technical expertise with pulling and massaging data.
• Great understanding of first/third party data.
• Agile Development methodology.
• Database Normalization.
• Advanced SQL skills.
• Understanding of data management principles and processes.
• Passion for data, analytics and pushing business innovation.
• Strategic thinker who loves technology and innovation.
• Excellent communication skills.
• AI-based development for data workflows, data wrangling, and code-assist.

Preferred Skills

• Experience with Informatica IDMC.
• Experience with GenAI and Natural Language Processing (NLP) frameworks.
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming).
• Unix / Linux Experience.
• Experience with CI/CD practices.
• Experience with Python / Java programming languages.
• Experience with one or more enterprise scheduler.
• Experience with AI-based testing, experimentation and prototyping.
• Retail or CPG experience preferred.

Benefits

• Competitive wages.
• Flexible hours.
• Associate discount.
• Medical, dental and vision coverage including life and disability insurance.
• Paid time off.
• Paid holidays.
• 401(k) plan.

Pay

Min-Mid $80,000.00 - $105,000.00

Posting Number

R102486

Location

New Jersey-Edgewater Park

Address

4287 Route 130 S

Zip Code

08010

Pay Rate

Salaried

Career Site Category

Corporate

Position Category

Information Technology

Job Type

Full-Time

Remote Type

Hybrid

Evergreen

No