Top Fintech Data Engineering Jobs

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

As a Data Engineer, you'll design data models, build data pipelines, implement AI capabilities, and ensure data quality for analytics. You'll collaborate with stakeholders to deliver robust datasets and support cross-functional strategies using advanced data tools.

As a Data Analytics Engineer, you'll design clean datasets in Snowflake for AI tooling, ensuring teams access reliable data for decision-making.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

The Principal Associate will define business solutions, translate requirements into technical deliverables, and support the Agile implementation of cloud-based treasury applications, ensuring data integrity and system efficiency.

The Solutions Engineer, Data role involves developing data solutions aligned with business goals, improving data quality, and leading technology strategies while collaborating with various teams.

The Lead Data Migration Specialist will enhance data processes for client onboarding using Excel, SQL, and AI, ensuring accuracy and efficiency.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

The Staff Data Engineer will design and develop data models and pipelines, optimize data engineering processes, and enforce data governance, collaborating with cross-functional teams to meet business needs.

The Senior Analytics Engineer will enhance data models, optimize performance in Snowflake, and bridge data engineering with analytics teams for strategic decision-making.

The Analytics Engineer will develop the Analytics layer in the data warehouse using dbt, define business logic with SQL, and collaborate with teams to meet data needs.