Data Engineer

DATA ENGINEER (MID-SENIOR)MIAMI, FL | HYBRID$150,000 - $170,000 BASE + BONUSThe Opportunity We're partnering with a rapidly growing financial services organization that is modernizing and expanding its enterprise data platform. They're looking for a Data Engineer who enjoys building scalable data solutions, improving data quality, and creating the infrastructure that powers analytics and business decision-making across the company. This is a hands-on role with strong ownership, visibility, and the opportunity to help shape the future of a growing data organization.The Team's FocusBuilding and scaling modern data platformsCreating reliable data pipelines and integrationsImproving data quality, monitoring, and governanceSupporting analytics, reporting, and business intelligence initiativesLeveraging cloud technologies to drive scalability and efficiencyEstablishing strong engineering standards and best practicesWhat You'll DoDevelop and maintain data pipelines that collect and process information from multiple sourcesDesign data models that enable reporting, analytics, and operational insightsEnhance a cloud-based data platform to improve performance, reliability, and scalabilityBuild solutions using Python, SQL, and dbtSupport and optimize Azure-based data infrastructureLead data engineering initiatives from design through deploymentImplement processes for data quality, monitoring, and operational excellenceIdentify and drive improvements across existing data systemsPartner with analytics teams, engineers, and business stakeholders to deliver impactful solutionsHelp define platform architecture and long-term data strategyWhat We're Looking For3-8 years of Data Engineering experienceStrong experience with Python and SQLExperience building and supporting ETL/data pipeline solutionsHands-on experience with dbt and modern data transformation practicesExperience working with Azure or other cloud-based data environmentsUnderstanding of data modeling, data warehousing, and platform architectureExperience supporting production data environments and troubleshooting issuesAbility to work independently and take full ownership of projectsStrong communication and stakeholder management skillsDegree in Computer Science, Mathematics, Statistics, or a related technical field preferredWhy Consider This Opportunity?Own high-impact projects from end to endHelp build and evolve a modern enterprise data platformWork across data engineering, cloud infrastructure, and analyticsGain exposure to both business and technical stakeholdersJoin a growing organization investing heavily in its data capabilitiesClear opportunities for career growth and increased responsibilityCompetitive compensation, bonus, and benefits packageThis opportunity is ideal for a Data Engineer who enjoys solving complex data challenges, building scalable platforms, and making a measurable impact on how an organization uses data. The ideal candidate brings strong Python, SQL, and dbt expertise and thrives in a collaborative, high-growth environment.