Data Engineer

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.

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