Top Fintech Data Engineering Jobs

Lead a team of senior data engineers to operate and advance Carta's data infrastructure: build resilient pipelines, enable NLQ, enforce fine-grained access controls, drive platform migrations, and improve observability and automation.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

The role involves developing tools in Python, leading projects, managing stakeholder engagement, and enhancing operational efficiency within Product Control.

Lead data platform strategy and architecture, scale Spark-based ETL/ELT pipelines, improve reliability and cost efficiency in an AWS environment, strengthen governance and lineage, modernize ingestion (Fivetran), and mentor engineers while delivering production-grade data solutions for analytics and AI.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The Principal Database Engineer will architect cloud-hosted data platforms, manage OLTP data models, and implement data streaming solutions while mentoring a team.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.

Build and maintain scalable ETL/ELT pipelines and data warehouse infrastructure, monitor performance and data integrity, troubleshoot issues, collaborate with teams to deliver reliable data solutions, and document processes.

The Principal Data Analytics Engineer will design complex data models, optimize querying processes, mentor team members, and ensure data quality across financial datasets.