Sr. Data Engineer - Kele Inc

Founded in 1983, Kele Inc. is a leading distribution, and solutions partner with national reach and a global presence. Built around our customers and powered by our people, Kele provides millions of in-stock parts from more than 300 brands to drive automation & efficiency in nearly every type of facility, from office towers and factories to data centers and hospitals.

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those building the future. We do this by delivering parts rapidly, providing custom assemblies upstream, and offering unmatched support to ensure projects run smoothly and downtime is minimized.

With 12 locations nationwide and headquarters in Tennessee, Kele combines deep technical expertise, rapid logistics, and a solutions-first mindset to help customers simplify supply chains, meet tight schedules, and deliver high-quality outcomes.

Kele fosters a culture rooted in collaboration, innovation, and customer obsession, empowering associates at every level to contribute, grow, and make a meaningful impact.

We are currently hiring for the role of Sr. Data Engineer .

SUMMARY

This position is responsible for working in collaboration with other teams in the company to understand data requirements, to develop new and modify existing data solutions, and to enable the business with data, analytics, and reporting. These data solutions will include a data warehousing solution, data processes and governance, and maintaining existing solutions. As this position grows more advanced tools, algorithms, and learning processes can expand responsibilities of the position.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

• Collaborate with the Analytics team and business partners from each area of the Kele companies to understand and define data requirements and enable the business through business intelligence and reporting
• Develop, construct, test, and maintain data architectures, databases, and datasets to enable extraction and transformation for predictive or prescriptive modeling
• Facilitate a smooth communication channel between business stakeholders and internal resources while creating, implementing, and delegating data-related tasks
• Create databases by integrating various internal and external data sources
• Enhance performance and stability of existing data sources
• Identify strategies to improve data dependability, efficiency, quality, and data governance processes
• Work closely with the rest of the IT team to manage the company’s data infrastructure
• Troubleshoot, maintain, and enhance existing data transfer mechanics (pipelines, ETL)
• Maintain multiple data warehouse environments to support proper CI/CD and SDLC principles