Data Engineer

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.