Data Engineer I

HexArmor•Grand Rapids, MI

16h•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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