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Senior Backend Engineer: Financial Data

Rogo
Full Timesenior
New York CityPosted 7 days ago

Role Overview

Rogo is hiring a Senior Backend Engineer: Financial Data. This is a full-time role in New York City. Part of Rogo's Backend hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Backend roles is $165k-$215k (based on 105 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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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.

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 Senior 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.
  • 6+ years of professional software engineering experience, with a proven track record building complex, data-intensive backend systems.
  • 4+ 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 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.

About Rogo

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Rogo

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Frequently Asked Questions

How do I apply for the Senior Backend Engineer: Financial Data position at Rogo?

Use the Apply button above to submit your application directly to Rogo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Backend Engineer: Financial Data position at Rogo located?

This position is based in New York City. Rogo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Backend Engineer: Financial Data at Rogo earn?

Rogo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Backend Engineer: Financial Data role at Rogo posted?

This role was posted on July 15, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Backend Engineer: Financial Data role at Rogo require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Rogo lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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