Senior Engineer, Data

Do you love working with talented people? So do we!

Our team is growing and we’re looking for best-in-class talent. We value experienced, career‑minded employees who focus on teamwork, professionalism and an unparalleled commitment to customer service. We offer full‑time employees a competitive benefits package that includes health, dental and vision insurance, along with life and AD&D insurance, 401k plans, vacation time and more.

Browse positions available at mSupply and throughout our HVAC, plumbing and appliance parts business units nationwide. Use the filters to narrow by department, business unit or location.

Location: REMOTE

Remote Status: Remote

Job :3512-mSupply

# of Openings:1

About mSupply

mSupply is North America’s leading distributor of OEM repair parts and equipment, serving professionals in the appliance, HVAC, plumbing, commercial kitchen and pool/spa industries. Headquartered in St. Louis, MO, mSupply is a multi‑billion dollar enterprise offering an extensive product range, industry expertise and seamless service. With more than 2,000 associates across the U.S. and Canada, mSupply’s family of brands delivers with speed, reliability and precision through its branches, distribution centers and extensive fleet of delivery vehicles.

Shipped orders reach 93% of U.S. customers via next‑day ground delivery and 100% within two days.

The Senior Data Engineer designs, builds, and operates mSupply’s enterprise data platform on Microsoft Fabric. Working within a medallion architecture (Bronze, Silver, Gold) using dbt, this role owns pipeline reliability, data quality, and operational health from source system ingestion through delivery into analytics‑ready datasets that power BI, data science, and AI capabilities.

You will own the end‑to‑end pipeline lifecycle for a platform that integrates data from multiple ERP systems, operational tools, and third‑party sources across three major business verticals. This is not a maintenance role. mSupply is actively acquiring new businesses, and every acquisition means new source systems to onboard. If you want to build pipelines that matter in a fast‑moving, high‑impact environment, this is the role.

• Design, build, and maintain ELT/ETL pipelines that ingest data from ERP systems, operational tools, APIs, and third‑party providers into Microsoft Fabric.
• Own pipeline reliability and operational health across all medallion layers, ensuring data freshness, completeness, and accuracy.
• Develop and maintain dbt models, tests, and documentation to enforce data quality standards and transformation traceability across the platform.
• Build and optimize Fabric Pipelines, Notebooks, and Dataflows for orchestration, scheduling, error handling, and retry logic.
• Monitor and troubleshoot pipeline failures, data quality anomalies, and performance bottlenecks with proactive alerting and observability.
• Collaborate with Data Scientists and ML/AI Engineers to build and maintain feature pipelines and curated Gold layer datasets.
• Support new source system onboarding as the company acquires new business units, developing repeatable ingestion patterns that accelerate time‑to‑value.
• Implement and maintain CI/CD pipelines for dbt and Fabric workloads, including version control, automated testing, and deployment automation.
• Optimize query performance, storage costs, and compute utilization across the Fabric environment.

Required

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in data engineering, analytics engineering, or data platform roles with production pipeline ownership.
• Strong proficiency in SQL and Python for data transformation, pipeline development, and automation.
• Hands‑on experience with modern ELT/ETL frameworks and data transformation tools such as dbt.
• Experience designing and operating data pipelines in cloud‑based environments (Azure, AWS, or GCP).
• Solid understanding of data modeling concepts, dimensional modeling, and medallion or multi‑layer data architectures.
• Experience with version control (Git), CI/CD practices, and automated testing…