Senior Data Engineer

Posted 7 days ago

harnhamMiami Springs (FL)

Data Warehousing Specialists Computer Systems Design Services

SENIORITY

Lead

SALARY

$150,000 - $170,000 per year

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About the role

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 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 SQLExperience 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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