Finance Staff Data Engineer, AI Native

About this role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Finance Staff Data Engineer, AI Native in United States.
This is a high-impact engineering role at the intersection of finance, data platforms, and AI-driven development. You will be responsible for designing and evolving the core data infrastructure that powers financial reporting, accounting workflows, and compliance-critical systems at scale. Working within a modern, AI-native engineering environment, you will build and optimize data ingestion, transformation, and egress frameworks that support high-volume, production-grade financial data flows. The role requires strong architectural thinking, with a focus on scalability, reliability, and developer efficiency across the entire data lifecycle. You will also play a key role in integrating AI tools into engineering workflows to accelerate delivery and improve system intelligence. This position is ideal for a senior engineer who thrives in complex, distributed systems and enjoys shaping foundational data platforms.


Accountabilities

• Architect and evolve scalable data ingestion, transformation, and egress frameworks for financial data systems.
• Design and maintain robust pipelines ensuring high data quality, reliability, and observability across all workflows.
• Build and enhance CI/CD pipelines, improving testing, deployment automation, and developer velocity.
• Develop and optimize data infrastructure across AWS, Databricks, and related cloud environments.
• Define and enforce data security, governance, and SOX compliance controls across systems.
• Implement distributed data processing systems using Spark and modern cloud data architectures.
• Improve developer experience through tooling, automation, and AI-assisted engineering workflows.
• Establish ingestion standards, monitoring systems, and recovery mechanisms to ensure system resilience.
• Collaborate with analytics engineers and finance stakehol...