Job Description

DATA ENGINEER (MID-SENIOR)

MIAMI, FL | HYBRID

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

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.

The Team's Focus

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

What You'll Do

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

What We're Looking For

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

Why Consider This Opportunity?

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

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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