Software Engineer
US$250,000 – US$315,000 / yr base salary
Posted 21 Sep 2026
Advertised as “Software Engineer: Financial Data”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$250,000 – US$315,000 / yr |
|---|
Field of studyComputer Science (or related)
Study levelBachelor's
Why Rogo
Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.
This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.
Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.
What You Will Own
As a Backend Engineer on the Financial Data team, you'll be at the cutting edge of what makes Rogo's AI possible — the systems that source, integrate, transform, and serve structured and unstructured financial data at scale. This is a critical role at the heart of the product.
-
Own critical data infrastructure: Take complex requirements and turn them into robust, scalable solutions that ingest, transform, and serve financial datasets reliably — end to end, from conception to production.
-
Architect for scale and performance: Design and build highly scalable, cost-effective data processing pipelines that handle millions of documents and datapoints daily with very low latency and maximum throughput.
-
Drive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, third-party providers — into coherent, reliable, queryable platforms that power Rogo's AI layer.
-
Enable AI with great data: Work closely with the Core AI team to ensure financial data is structured, clean, and served in ways that maximize the performance and reliability of Rogo's models and retrieval systems. Critically, the data pipelines, transformations, and interfaces you build are themselves powered by the same AI techniques and innovation used across the rest of the platform — you are not just feeding the machine, you are part of it.
-
Handle customer data with care: Build secure, compliant integrations that treat enterprise customer data with the highest standards of trust, privacy, and reliability — from ingestion through to serving.