Data Engineer

Required Skills & Experience5+ years of experience for Mid-Level candidates; 7+ years for Senior candidatesHands-on experience with Databricks in a data engineering capacityStrong experience designing and developing ETL/ELT pipelinesExperience working with SAP data and integrationsStrong understanding of data modeling concepts and best practicesExperience ensuring data quality, governance, and data integrityAdvanced SQL skills with the ability to optimize performance and troubleshoot complex queriesProficiency in Python for data engineering and automationExperience working in cloud-based data environmentsStrong problem-solving and communication skillsNice to Have Skills & ExperienceExperience supporting enterprise-scale data platformsExposure to data warehousing and modern data architecture principlesExperience working in Agile environmentsBackground in the utilities, energy, or large enterprise environmentsJob DescriptionBILL RATE RANGES FROM $85-100/HR DEPENDING ON LEVEL OF EXPERIENCE.We are seeking experienced Data Engineers to join a growing team supporting enterprise data initiatives for a leading energy company in Juno Beach, FL.This role will focus on designing, developing, and maintaining scalable data solutions that support critical business operations and analytics. The ideal candidate will have strong hands-on experience building ETL pipelines, working within Databricks environments, integrating SAP data, and ensuring data quality and integrity across the organization.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise reporting and analytics needsBuild and optimize data models to ensure accuracy, consistency, and performanceWork closely with business stakeholders and technical teams to gather requirements and translate them into data solutionsIntegrate and transform data from SAP and other enterprise systemsDevelop and maintain solutions within Databricks to support large-scale data processingEnsure data integrity, governance, and overall quality across datasetsWrite and optimize complex SQL queries for data extraction, transformation, and analysisUtilize Python to automate data processes and support data engineering initiativesTroubleshoot and resolve data-related issues while identifying opportunities for performance improvementsCollaborate with cross-functional teams to support new projects and ongoing enhancements