Data Engineer

Job Description

DATA ENGINEER (MID-SENIOR)

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MIAMI, FL | HYBRID

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$150,000 - $170,000 BASE + BONUS

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The 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.

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The Team's Focus

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• Building and scaling modern data platforms
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• Creating reliable data pipelines and integrations
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• Improving data quality, monitoring, and governance
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• Supporting analytics, reporting, and business intelligence initiatives
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• Leveraging cloud technologies to drive scalability and efficiency
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• Establishing strong engineering standards and best practices
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What You'll Do

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• Develop and maintain data pipelines that collect and process information from multiple sources
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• Design data models that enable reporting, analytics, and operational insights
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• Enhance a cloud-based data platform to improve performance, reliability, and scalability
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• Build solutions using Python, SQL, and dbt
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• Support and optimize Azure-based data infrastructure
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• Lead data engineering initiatives from design through deployment
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• Implement processes for data quality, monitoring, and operational excellence
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• Identify and drive improvements across existing data systems
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• Partner with analytics teams, engineers, and business stakeholders to deliver impactful solutions
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• Help define platform architecture and long-term data strategy
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What We're Looking For

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• 3-8 years of Data Engineering experience
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• Strong experience with Python and SQL
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• Experience building and supporting ETL/data pipeline solutions
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• Hands-on experience with dbt and modern data transformation practices
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• Experience working with Azure or other cloud-based data environments
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• Understanding of data modeling, data warehousing, and platform architecture
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• Experience supporting production data environments and troubleshooting issues
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• Ability to work independently and take full ownership of projects
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• Strong communication and stakeholder management skills
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• Degree in Computer Science, Mathematics, Statistics, or a related technical field preferred
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Why Consider This Opportunity?

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• Own high-impact projects from end to end
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• Help build and evolve a modern enterprise data platform
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• Work across data engineering, cloud infrastructure, and analytics
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• Gain exposure to both business and technical stakeholders
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• Join a growing organization investing heavily in its data capabilities
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• Clear opportunities for career growth and increased responsibility
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• Competitive compensation, bonus, and benefits package
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This 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.

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