Data Engineer (Databricks)
Rise Technical
full-remotemidpermanentbackenddata United States Yesterday via LinkedIn
120,000 - 154,000 USD/annual
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DatabricksApache SparkSQLPythonAWSData EngineeringData LakesData GovernanceData QualityDevOps
About the role
Role Overview
You will be a Databricks Data Engineer working remotely in the USA. The role focuses on building and scaling reliable, production-ready data pipelines and infrastructure for consulting and SaaS solutions, in support of analytics and machine learning use cases.
Responsibilities
- Design, build, and maintain scalable cloud data pipelines
- Develop and optimize Databricks, Spark, and SQL workflows
- Build data lakes for advanced analytics and BI
- Monitor pipeline performance, data quality, and data integrity
- Manage software development lifecycles and perform DevOps activities
- Collaborate with ML engineers, software engineers, and data scientists to deliver high-performance data products
Requirements
- Bachelor’s degree in computer science or a related field
- Extensive experience building cloud-based data engineering solutions
- Expert proficiency in Python, SQL, Databricks, and Spark
- Strong background in AWS cloud infrastructure and tools
- Solid understanding of data governance and security practices
- US Citizen or Green Card Holder
Nice-to-Haves
- Experience in the utility/energy sector (implied by role context)
About Rise Technical
Rise Technical is a technology-focused professional services firm working with complex cloud and data infrastructure solutions for clients in the utility sector. The team supports data governance and analytics pipelines that help organizations make sustainable, data-driven decisions.
Scraped 8/4/2026