Data Engineer I

HexArmor® is a leader in developing some of the most advanced PPE solutions for your eyes, hands, arms, and body. At HexArmor®, we believe safety is not a luxury – it’s a necessity. Since day one, we have worked hand-in-hand with our customers to design innovative, high performance PPE that helps ensure workers return home in the same condition they arrived.  Our mission is to provide the protection that makes this possible, for every worker, everywhere.

Data Engineer I is an entry-level role designed for individuals early in their data engineering career. This position focuses on supporting HexArmor’s core data platforms and gaining hands-on experience building and maintaining data pipelines and integrations across systems including SAP B1, WMS, Salesforce, Tableau, and ecommerce platforms (e.g., Shopify, Amazon). Working under the guidance of a senior engineer, the Data Engineer I will develop foundational skills in data modeling, ETL/ELT processes, and cloud-based data solutions. This role is highly collaborative, partnering closely with system administrators, business systems, and analytics teams to support reliable, well-governed data flows that enable reporting, automation, and operational insights.

Fully onsite at our global headquarters in Grand Rapids, MI. 

• →Support the design, development, and maintenance of ingestion and transformation pipelines using Azure Data Factory and MuleSoft ensuring compatibility and interoperability between different integrated systems
• →Assist in managing database instances across environments with guidance from senior engineers
• →Write, test, and optimize SQL queries for business reporting and integration tasks
• →Contribute to maintaining data quality and applying basic governance practices
• →Provide support for BI reporting needs (Tableau, SSRS, Crystal Reports, etc.) and ensure accuracy of data delivery
• →Partner with business teams to monitor system performance and troubleshoot data issues
• →Document processes, data flows, and key learnings to build team knowledge
• →Assist in gathering business requirements from stakeholders to automate manual processes

• Bachelor’s Degree in Information Systems, Computer Science, Engineering, related field, or equivalent experience
• 1–2 years of relevant experience in data engineering, data analysis, or DBA work
• Foundational knowledge of SQL and relational databases
• Hands-on experience with MuleSoft, including building or supporting basic integrations, APIs, or data flows
• Familiarity with data warehousing concepts and ETL processes
• Exposure to Azure, AWS, or other cloud platforms
• Eagerness to learn and grow technical skills under mentorship with an ability to adapt to evolving technology and industry offerings
• Strong communication and collaboration skills

• Strong understanding of building reusable, standardized, and maintainable data and integration patterns
• Experience with MuleSoft DataWeave 2.0 for data transformation and integration logic
• Familiarity with version control systems (Git/GitHub) and modern CI/CD pipelines
• Exposure to Microsoft Fabric or similar modern analytics and data platform technologies
• Understanding of data governance, data quality, and best practices for managing data across enterprise systems