Data Engineer

Harnham; Miami, Fort Lauderdale (FL, FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Harnham, a leading data recruitment partner, is partnering with a growing financial services organization to modernize its data platform. They seek a Data Engineer who can own end-to-end data pipelines, improve quality, and enable analytics across the business in a hands-on, high-growth environment.

The role emphasizes Python, SQL, dbt, and Azure, with opportunities to shape architecture, governance, and long-term strategy while collaborating with analytics, engineering, and business

Qualifications

• 3–8 years of Data Engineering experience.
• Strong Python and SQL expertise.
• Experience building and supporting ETL/data pipelines.
• Hands-on with dbt and modern data transformation practices.
• Experience with Azure or other cloud-based data environments.
• Understanding of data modeling, warehousing, and platform architecture.
• Excellent communication and stakeholder management skills.

Responsibilities

• 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.

Skills

Python

SQL

Data modeling

Data pipelines

ETL

Data governance

Stakeholder management

Cloud (Azure)

Education

Bachelor's degree in Computer Science or related

Tools

dbt

Azure

Job description

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

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.