Senior Data Engineer - Real-Time Pipelines & AI

Burlington Stores, Inc.; Beverly (NJ); Hybrid; USD 80,000 - 105,000; Full time

Benefits offered by this job

Competitive wages

Flexible hours

Associate discount

Medical, dental and vision coverage

401(k) plan

Job summary

A leading retail organization is seeking a Senior Data Engineer to support their digital transformation by leveraging data analytics. The ideal candidate will have over 5 years of experience in data architecture and SQL-based data processing, able to design ETL processes and mentor junior team members. This role offers competitive wages, flexible hours, a benefits package including health coverage, and the opportunity to work in a collaborative environment. Candidates should be passionate about data and analytics, bringing both technical skills and strong interpersonal communication.

Qualifications

• 5+ years of experience in designing large-scale data loading and manipulation solutions.
• Extensive experience with SQL-based data processing.
• Experience with Data Architecture and AI/ML techniques.

Responsibilities

• Design and develop ETL processes for data extraction and integration.
• Lead development of data pipelines for real-time data consumption.
• Provide operational support for ETL/ELT environments.

Skills

Advanced SQL skills

Technical expertise with pulling and massaging data

Understanding of data management principles

Agile Development methodology

Excellent communication skills

Experience in AI-based development for data workflows

Education

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

Tools

Snowflake

Oracle Databases

Azure

GitHub

Informatica IDMC

Python

Java

Job description

A leading retail organization is seeking a Senior Data Engineer to support their digital transformation by leveraging data analytics. The ideal candidate will have over 5 years of experience in data architecture and SQL-based data processing, able to design ETL processes and mentor junior team members. This role offers competitive wages, flexible hours, a benefits package including health coverage, and the opportunity to work in a collaborative environment. Candidates should be passionate about data and analytics, bringing both technical skills and strong interpersonal communication.