Data Engineer

Sunbelt Rentals, Inc.•Fort Mill, SC

3d•$113,342 - $155,846•Onsite

About The Position

Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition. We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees. As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewarding career, we invite you to review our opportunities!

Requirements

2+ years of data engineering experience
Proficiency in Python and SQL
Hands-on experience with Apache Spark, with preference for Databricks
Familiarity with streaming data concepts (Kafka, Structured Streaming, or equivalent)
Understanding of cloud data lake concepts and experience with Delta Lake or similar table formats
Ability to work independently on well-scoped tasks and collaborate effectively in a team environment

Nice To Haves

Experience with the Databricks platform (Workflows, Unity Catalog, Delta Live Tables)
Exposure to IoT or time-series data
Databricks Certified Data Engineer Associate certification
Familiarity with Azure services (Azure Key Vault, Event Hubs, Blob Storage)
Experience with dbt or similar transformation frameworks
Bachelor’s degree in computer science, Information Technology, Data Engineering, or equivalent experience.

Responsibilities

Develop and maintain data ingestion and transformation pipelines on Databricks using Python and SQL
Build and support streaming and batch workflows that process high-frequency IoT telemetry data from fleet devices
Create and manage Delta Lake tables across Bronze, Silver, and Gold layers of the medallion architecture
Write reliable, tested, and well-structured pipeline code following team standards
Monitor pipeline performance and data quality, investigate failures, and implement fixes
Collaborate with senior engineers, analysts, and data scientists to understand requirements and deliver data products
Participate in code reviews and contribute to team documentation and knowledge sharing