Top Fintech Data Engineering Jobs in Seattle, WA

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

As an Analytics Engineer, you'll lead the transformation layer of data, focusing on data quality, refactoring for clarity, and optimizing costs in BigQuery. You'll work closely with cross-functional teams to ensure effective data use and architecture as the foundation for AI initiatives.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

As a Workday Integration Consultant at Deel, you'll implement certified integrations for clients, support payroll data, troubleshoot issues, and ensure compliance while maintaining documentation.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.