Software Engineer

Burlington Stores; Edgewater Park Township (NJ); On-site; USD 80,000 - 105,000; Full time

Benefits offered by this job

Associate discount

401(k) plan

Paid time off

Holidays

Job summary

Burlington Stores is seeking a Software Engineer to build AI-enabled analytics solutions within Power BI across merchandising, supply chain, store ops and finance. You will design and integrate LLM-powered features, NLQ, embeddings, and predictive analytics, collaborating with product, analytics and engineering teams to deliver scalable, cost-efficient insights at scale.

The role emphasizes responsible AI, governance, and templates to enable self-service analytics for business users.

Qualifications

• 5+ years of experience in Business Intelligence, Analytics or Data Engineering.
• 2+ years of experience building and integrating AI capabilities into reporting tools, including NLQ, AI visuals, and predictive analytics.

Responsibilities

• Design and implement AI-enabled Power BI solutions, including integration of generative AI capabilities to enhance data exploration and insights.
• Integrate LLM-powered features (narrative insights, summaries, explanations, and recommendations) into Power BI reports and dashboards.
• Collaborate with data science and engineering teams to operationalize ML outputs within Power BI for business consumption.
• Ensure performance, scalability, and cost efficiency of AI-enabled Power BI solutions.

Skills

Business Intelligence

Analytics Engineering

Data Engineering

AI integration

NLQ

Tools

Power BI

DAX

Job description

Position OverviewThe Software Engineer is a hands on, product focused engineer responsible for building and enhancing data driven and AI enabled products that support Burlington’s retail and corporate business functions. This role works closely with product managers, analytics, design, and engineering teams to translate business requirements into reliable, scalable, and maintainable solutions.The Software Engineer contributes to the development of analytics solutions, supports the integration of AI and machine learning capabilities, and helps deliver insights that improve decision making across merchandising, supply chain, store operations, finance, and digital teams.This position is ideal for an engineer who is growing into product ownership, learning to balance technical execution with business impact, and contributing to shared standards and best practices while operating within Burlington’s fast paced retail landscape.A Day in the LifeProduct Engineering: Product discovery, requirements translation, MVP development, backlog refinement, experimentation frameworks, user‑centric design collaboration, metrics‑driven iterationAI & Machine Learning: LLM integration, prompt engineering, embeddings, model evaluation responsible AI practices.Performance & Scalability: Query tuning, cost optimization, system scalability, reliability engineeringCollaboration & Leadership: Stakeholder communication, cross‑functional delivery, agile/Scrum ceremonies, technical mentoring, documentation and knowledge sharingDesign and implement AI‑enabled Power BI solutions, including integration of generative AI capabilities to enhance data exploration, insights discovery, and user experience.Integrate LLM‑powered features (e.g., narrative insights, summaries, explanations, and recommendations) into Power BI reports and dashboards using enterprise‑approved AI services.Develop and govern Power BI reports leveraging AI visuals, predictive analytics, anomaly detection, and advanced DAX measures.Partner with data science and engineering teams to operationalize machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption.Implement natural language query (NLQ) and conversational analytics experiences embedded within Power BI dashboards and apps.Ensure performance, scalability, and cost efficiency of AI‑enabled Power BI solutions, including optimization of semantic models, DAX, and query patterns.Apply Responsible AI and data governance principles within Power BI solutions, ensuring transparency, explainability, access controls, and compliance.Standardize AI‑enabled Power BI design patterns, reusable templates, and best practices across the analytics organization.Enable and support self‑service AI analytics in Power BI through documentation, enablement sessions, and guardrails.Collaborate with product, analytics, and business teams to identify high‑value AI use cases that can be delivered through Power BI.Monitor and measure adoption and impact of AI‑enabled Power BI features, using usage metrics and feedback to drive continuous improvement.You'll Come With5+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering, with a strong focus on enterprise reporting and analytics platforms.2+ years of experience building and integrating AI capabilities into reporting tools, including use of AI visuals, natural language query (NLQ), predictive analytics, anomaly detection, and narrative insights.CERTIFICATIONS ( Preferred) :Microsoft Certified: Power BI Data Analyst AssociateGenerative AI or LLM Certifications (e.g., Microsoft, AWS, Google, or industry‑recognized providers)#LI-CG1Come join our team. You’re going to like it here!You will enjoy competitive wages, flexible hours, and an associate discount. Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan.We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversityIndividual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.Compensation Range: $80,000.00 - $105,000.00