Data Engineer at mSupply

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Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Microsoft Fabric, dbt, ETL/ELT Pipelines, Data Modeling, Git, Azure Synapse Analytics, Azure Data Factory, Medallion Architecture, CI/CD, Data Validation

Industry

Manufacturing

Description

About mSupply TM 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. For more information, visit mSupply.com [http://www.msupply.com/]. Job Summary The Data Engineer supports the build-out and day-to-day operations of mSupply’s enterprise data platform on Microsoft Fabric. Working under the guidance of the Senior Data Engineer and Senior Manager of Data Platform, this role contributes to pipeline development, data quality monitoring, and platform maintenance across the medallion architecture (Bronze, Silver, Gold). Job Duties & Responsibilities * Build and maintain ELT/ETL pipelines that ingest data from source systems into Microsoft Fabric, following established patterns and standards. * Develop, test, and document dbt models across the Bronze, Silver, and Gold layers, ensuring data quality and transformation accuracy. * Monitor pipeline runs and data freshness dashboards, triaging failures, investigating root causes, and escalating as needed. * Write and optimize SQL queries and Python scripts for data transformation, validation, and ad hoc analysis. * Assist with onboarding new data sources, including mapping source schemas, building ingestion pipelines, and validating initial data loads. * Support Fabric Pipelines, Notebooks, and Dataflows for orchestration, scheduling, and error handling. * Contribute to data quality by writing and maintaining dbt tests and working with upstream system owners to resolve data issues. * Help maintain CI/CD pipelines for dbt and Fabric workloads, including pull request reviews and automated test execution. Qualifications Required * Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent practical experience. * 1-3 years of experience in data engineering, analytics engineering, software development, or a related technical role (internship experience counts). * Proficiency in SQL for querying, transforming, and analyzing structured datasets. * Working knowledge of Python for scripting, data manipulation, or pipeline development. * Foundational understanding of data modeling concepts and relational database design. * Familiarity with version control systems (Git) and collaborative development workflows. Preferred * Exposure to cloud-based data platforms such as Microsoft Fabric, Azure Synapse Analytics, or Azure Data Factory. * Familiarity with dbt or similar data transformation frameworks. * Experience working with ELT/ETL pipelines or data orchestration tools. * Understanding of medallion or multi-layer data architectures (Bronze, Silver, Gold). * Background in wholesale distribution, supply chain, or related B2B industries. * Experience or demonstrated ability using AI-powered tools (e.g., code assistants, LLMs, AI-augmented workflows) to accelerate work and improve outcomes. Physical Demands & Work Environment This is a full-time position. Duties are primarily performed in an office or remote work environment. * Primarily sedentary work with extended periods at a computer * Ability to communicate effectively in person, by phone, and through virtual collaboration tools * Occasional standing, walking, and movement during meetings or travel * Ability to travel periodically for business needs, including visits to distribution centers, suppliers, or industry events * Office environment with standard business equipment such as computers, phones, and conferencing tools What We Offer: We prioritize your well-being from day one with a comprehensive benefits package that includes: * Medical, dental, vision, and prescription coverage effective immediately * 401(k) plan with company contributions * Life insurance and short-term disability coverage * HSA/FSA options and an Employee Assistance Program (EAP) * Paid time off, including vacation, holidays, and personal days * Weekly pay, employee discounts, and more Equal Employment Opportunity & Pre-Employment Requirements mSupply is an Equal Opportunity Employer. We make employment decisions without regard to sex, age, race, color, creed, religion, national origin, citizenship or immigration status, sexual orientation, gender identity or expression, disability, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local law. We are committed to providing reasonable accommodations for qualified individuals with disabilities and to applicants with sincerely held religious beliefs. To request a reasonable accommodation, please contact careers@msupply.com. Final offers of employment may be contingent upon completion of job-related pre-employment checks and screenings permitted by law. For roles that require operation of a company vehicle, a Motor Vehicle Record (MVR) check may also be conducted. This employer participates in E-Verify to confirm employment eligibility in the United States. #mSupply

Responsibilities

Build and maintain ELT/ETL pipelines and dbt models within a medallion architecture on Microsoft Fabric. Monitor data freshness, optimize SQL queries, and support the onboarding of new data sources.