Software Engineer (Financial Data)
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- 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
- Bachelor’s in Computer Science or related field
- 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
- Mastery in designing large-scale distributed systems — asynchronous patterns, streaming, queuing, caching strategies, and robust observability (logging, metrics, tracing)
- Track record of shipping high-quality products in unstructured, fast-moving environments with full autonomy from conception to deployment
- 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
- Proven experience building and operating large-scale data pipelines — both streaming and batch — integrating heterogeneous financial data sources with high reliability and throughput
- You are ambitious. You have fun solving problems that others think are impossible
- 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
- 3+ years of experience managing or working closely with globally distributed engineering teams
- 5+ years of hands-on experience with GCP or equivalent cloud stack, building and scaling production-grade services
- Strong command of relational databases and SQL — schema design, query optimization, indexing — alongside NoSQL, in-memory (Redis), and columnar stores (BigQuery, Snowflake, Redshift)
- You are collaborative, organized, thoughtful, and kind
- 5+ years of professional software engineering experience, with a proven track record building complex, data-intensive backend systems
- 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
- 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