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Würth MRO, Safety, & Metalworking

Data Engineer eCommerce Customer Experience

Würth MRO, Safety, & Metalworking · United States

Wholesale · 501-1,000 employees

8 h ago
Mid (2-5 yrs) Full-time United States
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About the role

The Data Engineer will build, maintain, and optimize batch and real-time data pipelines while supporting integrations across enterprise systems. They will also contribute to data modeling, quality initiatives, and the development of analytics-ready datasets to support business decision-making.

What they look for

SQL Python Data Engineering Data Pipelines ETL ELT Data Modeling Cloud Platforms AWS Azure Google Cloud API Integration Git Data Warehousing Software Development Analytics

Requirements

Candidates must hold a bachelor's degree in a technical field and possess 3-5 years of experience in data engineering or software development. Proficiency in SQL, Python, and familiarity with cloud platforms and data integration concepts are required.

Full description

POSITION SUMMARY

We are seeking a highly motivated and technically curious Data Engineer to help build the foundation for the future of our digital business. This role will support the development, maintenance, and enhancement of the enterprise data platform that powers eCommerce, customer experience, pricing, merchandising, supply chain, analytics, and operational decision-making across the U.S.

This is an exciting opportunity to gain hands-on experience building modern cloud-based data solutions while working alongside experienced data engineers, architects, and business stakeholders. The Junior Data Engineer will contribute to data pipeline development, system integrations, data quality initiatives, and analytics enablement efforts that support the organization's digital transformation journey.

The ideal candidate is eager to learn, enjoys solving technical problems, and has a strong foundation in data engineering, software development, or analytics technologies.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Data Engineering and Development

  • Assist in building, maintaining, and optimizing 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 the development of analytics-ready datasets and data products used across the business.
  • Participate in data modeling efforts supporting customer, product, pricing, inventory, sales, and operational reporting needs.
  • Assist with API integrations and data exchange processes across enterprise platforms.

EDUCATION, QUALIFICATIONS, SKILLS & ABILITIES

  • 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 is 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.

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