Software Engineer - Financial Engineering

1 мес. назад

CanadaWorldwideRemote

data pipelinesbackend servicessoftware engineeringdata models

Build reliable, scalable backend systems and data pipelines for 's financial engineering infrastructure.

The Platform team creates the technology that enables to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. 's Financial Engineering (FinE) organization ensures that as grows, our financial systems grow with it. We build the infrastructure and tooling that finance teams across the company depend on to track revenue accurately, report reliably, and reconcile at scale. The Oracles team sits at the heart of 's financial infrastructure, building the data pipelines and backend services that power our subledger and accounting lifecycle. As part of a b

Build, operate, and evolve scalable Scio data pipelines on Google Cloud Platform that process high-volume financial data with accuracy and reliability.
Develop and enhance Java backend services that power integrations across 's financial ecosystem.
Design and evolve data models and datasets that support accounting, reconciliation, financial reporting, and operational insights.
Build and improve integrations with external financial systems to bring critical financial data into 's financial ecosystem.
Partner closely with Finance, Product, and Engineering teams to translate accounting requirements into reliable, scalable technical solutions.
Improve the scalability, observability, and resilience of financial data pipelines and backend services.
Contribute to engineering best practices through continuous delivery, automated testing, monitoring, and thoughtful code reviews.
Help drive technical decisions that improve the long-term maintainability of 's financial engineering platform.

You have 3+ years of professional experience building backend systems and data-intensive applications.
You are experienced with Scala or Java and at least one distributed data processing framework such as Scio, Apache Beam, Spark, or Flink.
You know how to design and build reliable backend services and scalable data pipelines that support business-critical workflows.
You have experience designing data models that enable accurate, high-volume financial processes.
You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar technologies.
You care deeply about engineering fundamentals, including continuous delivery, automated testing, monitoring, and writing production-quality code.
You enjoy collaborating with cross-functional partners and translating complex business requirements into elegant technical solutions.
Experience working within financial, accounting, or other regulated data domains is a plus.
A Bachelor's degree or higher in Computer Science or a related field is a plus.

This role is based in Toronto.
We offer you the flexibility to work where you work best! There will be some in-person meetings, while still allowing flexibility to work from home.