Data Engineer – eCommerce, Customer Experience

🕒 August 7

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Würth MRO, Safety, & Metalworking

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1983

🤝 B2B

🛍️ eCommerce

Safety • B2B • eCommerce

Würth MRO, Safety, & Metalworking is an industrial supply and safety products distributor and e-commerce retailer offering personal protective equipment (PPE), hand and power tools, abrasives, facility maintenance items, first aid supplies, and related safety and metalworking products. Operating as part of the Würth/Northern Safety family, it serves commercial and industrial customers with corporate accounts, government contracts, and online storefront services, plus inventory and safety program solutions.

📋 Description

• Build, maintain, and optimize batch and real-time data pipelines • Develop and support data integrations between ERP, CRM, PIM, OMS, WMS, eCommerce, and third-party systems • Write, test, and maintain SQL, Python, and data transformation code • Support development of analytics-ready datasets and data products used across the business • Participate in data modeling for customer, product, pricing, inventory, sales, and operational reporting • Assist with API integrations and data exchange processes across enterprise platforms • Contribute to data quality initiatives and analytics enablement efforts • Support the enterprise data platform powering eCommerce, customer experience, pricing, merchandising, supply chain, analytics, and operational decision-making across the U.S. • Collaborate with data engineers, architects, and business stakeholders

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related field required • 3-5 years of experience in Data Engineering, Analytics Engineering, Software Development, Business Intelligence, or related technical disciplines • Professional experience working with data pipelines, databases, or analytics solutions preferred • Foundational knowledge of SQL and relational database concepts • Experience or familiarity with Python or another modern programming language • Familiarity with ETL/ELT concepts, data integration, and data transformation processes • Exposure to cloud platforms such as AWS, Azure, or Google Cloud preferred • Basic understanding of data warehousing, data modeling, and analytics concepts • Familiarity with Git, version control, and software development best practices • Strong analytical and problem-solving skills with attention to detail • Excellent communication skills and ability to work collaboratively across technical and business teams • Eagerness to learn new technologies and develop expertise in modern data engineering practices • Interest in supporting advanced analytics, machine learning, AI, and digital commerce initiatives

🏖️ Benefits

• Remote work • Equal Opportunity Employer • Disability/Veteran Employer