Sr. Data Engineer
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
- 5+ years of data engineering experience, with at least 2 years working extensively with Databricks
- Strong proficiency in Python and SQL, with experience writing production-grade Spark code
- Hands-on experience building and managing Kafka-based streaming pipelines
- Deep familiarity with Delta Lake, Delta Live Tables, and the Databricks ecosystem (Unity Catalog, Workflows, MLflow)
- Experience with IoT data patterns — high-frequency telemetry ingestion, device state management, time-series data
- Solid understanding of cloud infrastructure (Azure preferred) and infrastructure-as-code concepts
- Strong communication skills with the ability to lead technical discussions and translate requirements into architecture
Nice To Haves
- Experience with Geotab or similar fleet telematics platforms
- Databricks Certified Data Engineer Associate or Professional certification
- Familiarity with Azure Key Vault, Event Hubs, or Azure Data Factory
- Experience with dbt for data transformation
Responsibilities
- Design, build, and maintain end-to-end IoT data pipelines from edge devices into Databricks using the medallion architecture (Bronze/Silver/Gold)
- Lead the development and optimization of streaming ingestion pipelines using Apache Kafka and Databricks Structured Streaming
- Define and enforce data engineering best practices, including pipeline design patterns, data quality frameworks, and schema governance
- Architect and manage Delta Lake tables, including partitioning strategies, Z-ordering, and vacuuming for performance and cost efficiency
- Collaborate with infrastructure and cloud teams to configure and manage Databricks clusters, Unity Catalog, and Delta Live Tables
- Mentor junior and mid-level data engineers through code reviews, pair programming, and technical guidance
- Partner with data scientists and analysts to ensure processed data meets downstream analytical and ML requirements
- Troubleshoot production pipeline failures and drive root cause analysis and resolution
- Evaluate and introduce new tools and technologies to continuously improve the data platform
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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
