Software Engineer: Financial Data

Rogo; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Rogo seeks a Backend Engineer on the Financial Data team to build the data infrastructure that powers its AI platform. You will design scalable pipelines, ingest diverse datasets, and enable reliable, low-latency data access for AI models and retrieval systems.

You will work across data ingestion, transformation, and integrations, collaborating with global teams to ensure data quality and security, while maintaining high performance at scale.

Qualifications

• Bachelor's in Computer Science or related field.
• 5+ years of professional software engineering experience building data-intensive backend systems.
• 5+ years of hands-on experience with GCP or equivalent cloud stack.
• Deep expertise in Python for backend and API systems; proficient in at least one strongly typed language (Rust, C++, or Java).
• Mastery in large-scale distributed systems design — asynchronous patterns, streaming, caching, observability.
• Strong command of relational databases and SQL; NoSQL and in-memory data stores.
• Experience building and operating large-scale data pipelines with high reliability and throughput.
• 3+ years managing or collaborating with globally distributed engineering teams.
• Exceptional communication skills and ability to influence engineering direction.
• Track record of shipping high-quality products in fast-moving environments with autonomy.

Responsibilities

• Own critical data infrastructure: ingest, transform, and serve financial datasets end-to-end.
• Architect for scale and performance with scalable data processing pipelines.
• Drive data integration across heterogeneous datasets into coherent platforms.
• Enable AI by ensuring data is structured, clean, and accessible for models and retrieval.
• Handle enterprise customer data with high standards of security and privacy.
• Raise the bar through ownership and setting a high coding standard.
• Be a cultural anchor promoting learning, craft, and ownership.

Skills

Python

Rust

C++

Java

GCP

Distributed systems

Data pipelines

SQL

NoSQL

Leadership

Education

Bachelor's in CS

Tools

BigQuery

Snowflake

Redis

Job description

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.

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.
• Raise the bar: Lead by example — write the kind of code, make the kind of decisions, and bring the kind of energy that naturally elevates everyone around you.
• Be a cultural anchor: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every day.

What You Will Need

• Bachelor's in Computer Science or related field.
• 5+ years of professional software engineering experience, with a proven track record building complex, data-intensive backend systems.
• 5+ years of hands‑on experience with GCP or equivalent cloud stack, building and scaling production‑grade services.
• Deep expertise in Python for backend and API systems; proficiency in at least one strongly typed language (Rust, C++, or Java), with Java being a strong plus.
• Mastery in designing large‑scale distributed systems — asynchronous patterns, streaming, queuing, caching strategies, and robust observability (logging, metrics, tracing).
• Strong command of relational databases and SQL — schema design, query optimization, indexing — alongside NoSQL, in‑memory (Redis), and columnar stores (BigQuery, Snowflake, Redshift).
• Proven experience building and operating large‑scale data pipelines — both streaming and batch — integrating heterogeneous financial data sources with high reliability and throughput.
• 3+ years of experience managing or working closely with globally distributed engineering teams.
• Exceptional communication skills — able to articulate complex technical concepts to both technical and non-technical stakeholders, and to influence engineering direction across teams without direct authority.
• Track record of shipping high-quality products in unstructured, fast‑moving environments with full autonomy from conception to deployment.
• Demonstrated passion for corporate finance, capital markets, and financial data — you understand the standards, workflows, and zero‑tolerance for data quality issues that investment professionals demand.

Who You Are

• You thrive in fast‑paced environments. You are high‑intensity and care a lot about what you do, and you're ecstatic to work at a startup.
• You are ambitious. You have fun solving problems that others think are impossible.
• You are curious. You find joy in learning about AI, technology, and finance.
• You are an owner. You are autonomous, self‑directed, and comfortable working with ambiguity.
• You are collaborative, organized, thoughtful, and kind.

Why Join Rogo?

• Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
• Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
• A one‑of‑one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
• Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
• Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.