Data Engineer - Databricks
Remote · United States
Job Summary
Data Engineer role focused on building and modernizing a unified data platform in a private-equity backed HVAC services data ecosystem. Responsibilities include designing, building, and optimizing scalable data pipelines; leading migration from legacy tools to modern data flow/orchestration frameworks; developing and managing data solutions within Databricks and cloud environments; integrating data across ERP, field service, and operational platforms; ensuring data reliability, performance, and governance; and collaborating with business and technology stakeholders to deliver a unified data platform.
Required Qualifications
- Strong experience building end-to-end data pipelines in modern data environments
- Hands-on expertise with Databricks (Delta Lake, Spark, workflows)
- Experience migrating from legacy ETL tools to modern data flow/orchestration solutions
- Solid understanding of networking concepts (data movement, system connectivity, APIs, integrations)
- Experience working across distributed systems and cloud platforms (Azure, AWS, or GCP)
- Nice to Have: Experience in multi-entity / acquisition-driven environments
- Exposure to field service, HVAC, or industrial services data ecosystems
- Familiarity with modern tools such as Fivetran, Airflow, Azure Data Factory, or similar
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