eCommerce Data Engineer
About The Position
Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands including Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we've built multiple sales channels across DTC websites and third-party marketplaces. We're passionate about designing inspiring, on-trend furniture that brings customers' home décor dreams to life. We are seeking a new member to join our Data & Analytics team. Are you ready to be part of something amazing? We are seeking a Data Engineer to manage our growing data platform built on Microsoft Fabric and expand the infrastructure of related systems. In this role, you will work closely with other Data Engineers, BI Analysts, and AI Specialists to help scale and operate an AI-ready data warehouse infrastructure. This is an excellent opportunity for someone looking to expand and strengthen their skills within the realm of data science and data architecture.
Requirements
- 3+ years of experience in a database, data engineering, or analytics role
- Elevated understanding of relational databases and data warehousing concepts
- Proficiency with SQL, Python, Spark, etc.
- Strong knowledge of cloud data platforms and modern ETL/ELT tools
- Problem-solving skills and attention to detail
- Willingness to learn new tools and technologies in a fast-evolving environment
Nice To Haves
- Experience with Microsoft Fabric
- Familiarity with Azure services (e.g., Azure SQL, Synapse, Data Factory)
- Exposure to other Microsoft data tools such as Power BI, SQL Server, and SSMS
Responsibilities
- Manage all Microsoft Fabric dataflows and pipelines, minimizing downtime and failures
- Establish and maintain API connections and external data integrations
- Create standardized error reporting
- Manage resource allocation and capacity management within Azure
- Work alongside AI Specialists to ensure data is structured, governed, and optimized for AI and machine learning workloads
- Help optimize data access and usability for Data Engineers and BI Specialists
- Document processes, configurations, and operational best practices
Benefits
- 401(k) with Company Match
- Health, Dental, Vision, and Life Insurance
- Flexible Spending Account (FSA)
- Employee Assistance Program (EAP)
- Paid Time Off
- Flexible Schedule
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
