Data Engineer (Databricks)

AccruePartners

Charlotte, NC

THE TEAM YOU WILL BE JOINING

A leading commercial HVAC services platform with a large North American footprint, headquartered in Charlotte and operating across a highly distributed network of service businesses
A PE-backed growth environment focused on modernizing its data infrastructure and creating greater scalability, visibility, and consistency across the enterprise
A decentralized operating model with multiple locations, systems, ERP platforms, and isolated data environments
A growing data engineering team building and supporting centralized data pipelines and connectivity into the Databricks environment
A collaborative data and AI organization laying the technical foundation for enterprise reporting, analytics, and future AI-enabled business use cases

LOCATION

Charlotte, NC (Uptown) - Hybrid (3 days on-site)

WHAT THEY OFFER YOU

Opportunity to play a hands-on role in a major enterprise data modernization initiative
Direct ownership of data connectivity, ingestion, monitoring, and pipeline management within a growing Databricks environment
Chance to solve complex engineering challenges across a distributed, multi-location organization with numerous source systems
Technical work that directly supports improved reporting, analytics, and AI capabilities across the business
Exposure to a fast-moving, PE-backed organization where scalability, reliability, and practical execution are highly valued

WHY THIS ROLE IS IMPORTANT

Builds and supports reliable data pipelines that ingest information from multiple ERP systems, applications, databases, and operating locations into Databricks
Strengthens connectivity between disconnected source environments and the organization`s centralized data platform
Monitors pipeline performance, identifies failures or data-quality issues, and implements solutions that improve reliability and observability
Helps maintain current ingestion processes while supporting the transition toward a more scalable and standardized target-state architecture
Partners with data architecture, analytics, infrastructure, and business teams to ensure data is accessible, accurate, and available for downstream use
Reduces technical bottlenecks that impact enterprise reporting, analytics, and future AI initiatives

THE BACKGROUND THAT FITS

Strong hands-on experience developing, deploying, and supporting data pipelines within Databricks
Experience with Databricks technologies and concepts such as Delta Lake, notebooks, workflows, jobs, clusters, and medallion architecture
Proficiency with Python, PySpark, and SQL for data ingestion, transformation, and pipeline development
Experience connecting Databricks to a variety of source systems, including relational databases, ERP platforms, APIs, files, and on-premise environments
Understanding of ETL and ELT design patterns, data orchestration, incremental loading, and pipeline dependency management
Experience monitoring production pipelines, troubleshooting failures, and improving data quality, performance, and reliability
Familiarity with cloud-based data environments and services within Azure, AWS, or a comparable platform
Ability to work across data engineering, networking, infrastructure, MSP, and application teams to resolve complex connectivity issues
Experience operating in a distributed, multi-location, or multi-ERP business environment is strongly preferred
Background in HVAC, field services, construction, facilities services, or another decentralized service organization would be a plus

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Vacancy posted 1 day ago

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