Data Engineer

Sunbelt Rentals

Fort Mill (SC)

On-site

USD 113,000 - 156,000

Full time

5 days ago
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Benefits offered by this job

Health, Dental and Vision plans
401(k) Match
Volunteer time off
Short-term and long-term disability
Tuition Reimbursement Options
Employee Assistance Program (EAP)
Length of Service Awards

Job summary

Sunbelt Rentals is seeking a data engineer to develop and maintain data ingestion and transformation pipelines on the Databricks platform. You will work with Python and SQL to process IoT telemetry data from fleet devices, build Delta Lake tables across Bronze to Gold layers, and ensure data quality and reliability through code reviews and collaboration with analytics teams.

The role emphasizes independence on well-scoped tasks within a collaborative, high-growth environment, with extensive

Qualifications

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

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.

Skills

Python
SQL
Apache Spark
Databricks
Streaming data
Cloud data lake
Independent work
Team collaboration

Education

Bachelor's degree in CS/IT/Data Eng

Tools

Databricks Platform
Delta Lake
dbt
Azure
Kafka
Azure Key Vault
Azure Event Hubs
Blob Storage
Delta Live Tables

Job description

Join Our Team! 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!

Job Description Summary
Key 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
Required Qualifications
  • 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
Preferred Qualifications
  • 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.
Physical Demands:

Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind, or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt’s safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.

Sunbelt Rentals is an Equal Opportunity Employer — Minority/Female/Disabled/Veteran and any other protected ground

Base Pay Range: $113,342.00 - 155,845.80. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.

Benefits
  • Health, Dental and Vision plans
  • 401(k) Match
  • Volunteer time off
  • Short-term and long-term disability
  • Accident, Life and Travel insurance, as well as flexible spending
  • Tuition Reimbursement Options
  • Employee Assistance Program (EAP)
  • Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date.

Paid time off
  • 12-25 vacation days depending on years of service
  • 5 sick days
  • 6 holidays
  • 2 half day holidays
  • 2 floating holidays
  • 1 inclusion day
  • 1 volunteer day

Gear up for an exciting career! Sunbelt Rentals supports service members. Veterans encouraged to apply.

A leader in the equipment rental industry, Sunbelt Rentals is constantly advancing the idea of how a company can best serve its customers, communities and the planet. With over 1,000 locations across North America and an expansive portfolio of products and services, we deliver solutions to support any job. Sunbelt’s extensive fleet exceeds and includes general construction equipment, industrial tools, pumps, power & HVAC, trench shoring, scaffolding, remediation & restoration equipment, and more.

At Sunbelt Rentals, we place enormous value on the welfare and commitment of our employees as well as the superior level of service they provide for our customers. All our employees benefit from extensive on-the-job training, which is amongst the best in the industry. Our advancement opportunities are why many of our staff remain with us throughout their careers. Sunbelt Rentals means diversity, teamwork, recognition for exceptional performance, and room to grow! We are proud to offer the following benefits: Medical/Dental/Vision Insurance 401(k) Retirement Plan - US RRS Plan – CAN Paid Parental Leave Paid Holidays and Paid Time Off Tuition Reimbursement And many more Designed to serve distinct customer segments requiring a high level of technical expertise, Sunbelt Rentals offer a highly diversified product mix, as well as trained experts. Climate Control Services Industrial Services Tools & Equipment Oil & Gas Services Power & HVAC Services Pile Driving Services Pump Solutions Scaffold Services Remediation and Restoration

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