Data Engineer (Databricks)
Overview:
In this role you will design and optimize modern data platforms to support data products for utilities and customers. You will join a collaborative Machine Learning Engineering team and work on large-scale data solutions across analytics, storage, and cloud platforms. You will tackle complex data challenges, mentor colleagues, and grow expertise in cloud data platforms and ML technologies. This remote opportunity enables you to contribute to energy sector transformation and data-driven decision making. Compensation / Benefits Medical, Dental, and Vision Insurance Vacation TimeStock OptionsPTO & Paid Holidays 401(k) with Company MatchRemoteResponsibilitiesDesign, develop, and maintain scalable data pipelines and infrastructure Build and support data lakes, analytics platforms, and data products Collaborate with cross-functional teams to deliver business-driven solutions Monitor, troubleshoot, and improve data quality, reliability, and availability
Key requirements:
- 5+ years of experience in Data Engineering or related field
- Expert-level proficiency in Python, SQL, Databricks, and Spark
- Experience building cloud-based data pipelines in AWSStrong understanding of data engineering best practices and scalable architectures
- Knowledge of data governance, security, privacy, and retention practicescollaborationmentorshipproblem-solving
DatabricksSparkPython