Releady is partnering with a leading furniture and home furnishings retail company to hire a Data Engineer. This organization is the top-selling furniture brand in North America and is undergoing an AI-first technology transformation, modernizing its data platform to support advanced analytics, machine learning, and business intelligence across a growing retail footprint. The role sits within a Technology and AI Center of Excellence spanning cloud, data, security, and automation.
In this role, you will design, build, and maintain scalable, high-performance data pipelines and infrastructure that power the company's analytics and machine learning initiatives. The work operates primarily within a Microsoft Fabric and Azure ecosystem, driven by Python and PySpark. You will collaborate closely with AI/ML engineers, BI teams, developers, and business stakeholders to ensure data is reliable, accessible, and optimized for downstream use, while contributing directly to the re-architecture and modernization of the company's data platform.
Data Pipeline Development & Management
• Design, build, and optimize ETL/ELT notebooks and pipelines for ingestion, transformation, and delivery of business-critical data.
• Implement medallion architecture (bronze, silver, and gold layers) to standardize data for downstream consumption.
• Automate data collection, processing, and reporting workflows to improve efficiency and reduce manual effort.
• Ensure high-quality, reliable data through validation, monitoring, troubleshooting, and performance tuning.
• Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem.
Collaboration & Analytics Enablement
• Partner with AI/ML engineers, BI teams, developers, and business stakeholders to structure data for analytics, forecasting, and ML initiatives.
• Contribute to the re-architecture and modernization of the company's data platform for scalability and business alignment.
• Maintain clear documentation of data models, pipelines, and integrations for transparency and knowledge sharing.
Data Quality & Governance
• Implement systems to monitor data quality, ensure data integrity, and enforce security standards.
• Audit, track, and improve data processes to comply with organizational standards and regulatory requirements.
• Support version control, Agile workflows, and best practices using Git, Jira, and Confluence.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Engineer or in backend or data-intensive systems.
• Expertise in ETL/ELT design, data integration, and pipeline orchestration.
• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience with the Microsoft stack: Fabric, Azure, Python, PySpark notebooks, Data Factory, Data Lakes, and SQL Server.
• Familiarity with medallion architecture (bronze, silver, and gold) and modern data warehouse practices.
• Knowledge of data modeling, version control (Git), and Agile tools (Jira, Confluence).
• Preferred: experience with AI/ML applications, SQL database administration, and a strong statistical foundation to support data-driven modeling.
Releady (REL-uh-dee) is a diverse and women-owned firm that provides technology, engineering, data, digital, marketing, and creative talent solutions. We're passionate about making genuine connections, finding innovative strategies, and adding a personal touch. We develop customized solutions that meet clients’ specific requirements and exceed expectations.
At Releady, our diverse community, clients, and consultants aren’t just important—they’re at the core of who we are. Our drive is fueled by a culture that embraces diversity, is rooted in purpose, aims for inclusive growth, and is unwaveringly committed to impactful results.
We're excited about the possibility of partnering with you. Whether seeking innovative solutions for your business or exploring the next big step in your career, Releady is here to guide you.
Interested in joining our team? Our workplace policy embodies trust & innovation. We fully embrace remote work, viewing it as more than just a convenience-it's an affirmation of autonomy & flexibility. Our approach is built to reimagine work, enabling a culture that values individual well-being while driving collective goals!
