Rogo Logo

Rogo

Senior Backend Engineer: Financial Data

Reposted 6 Days Ago
In-Office
New York City, NY, USA
200K-275K Annually
Senior level
In-Office
New York City, NY, USA
200K-275K Annually
Senior level
Lead design and implementation of scalable data infrastructure to ingest, transform, and serve structured and unstructured financial data. Build high-performance streaming and batch pipelines, integrate heterogeneous data sources, ensure security and data quality, enable AI consumption, and mentor engineering teams while driving observability and reliability.
The summary above was generated by AI

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.

Similar Jobs

3 Minutes Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provide friendly customer service and personalized styling advice, drive sales through product knowledge and storytelling, perform POS transactions, maintain stockroom organization, support omni-channel selling, and handle physical tasks like lifting and stocking.
56 Minutes Ago
Remote or Hybrid
United States
17-25 Hourly
Junior
17-25 Hourly
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Provide remote technical support for VinSolutions and Cox Automotive products via phone, email, and chat. Troubleshoot and resolve application issues, log cases in the CRM, escalate to other teams as needed, and keep clients informed while meeting quality standards and shift requirements.
Top Skills: Genesys PurecloudExcelMicrosoft OutlookMicrosoft WordSalesforceVinsolutions
3 Hours Ago
In-Office
New York City, NY, USA
110K-140K Annually
Senior level
110K-140K Annually
Senior level
Events • Social Media • Software
Lead and evolve Posh's visual identity and creative systems across brand, performance, product, and IRL activations. Create flagship campaigns personally while directing agencies and freelancers. Ensure brand cohesion across channels, set creative standards, mentor teams, leverage generative AI for scale, and embed cultural relevance in music, nightlife, and events. On-site in SoHo NYC, full-time.
Top Skills: Adobe Creative SuiteAfter EffectsFigmaGenerative Ai (ImageIdeation)Motion ToolsVideo

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account