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Software Engineer: Financial Data

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Software Engineer: Financial Data in USA

  • New York, NY

Responsibilities

  • Own the design and production operation of scalable systems that ingest, transform, and serve financial datasets.
  • Build high-throughput, low-latency streaming and batch data pipelines handling millions of documents and datapoints daily.
  • Integrate market data vendors, proprietary sources, and third-party financial datasets into reliable, queryable platforms.
  • Partner with the Core AI team to structure, clean, and serve financial data for AI models and retrieval systems.
  • Build secure, compliant integrations that protect enterprise customer data from ingestion through serving.
  • Make architecture and implementation decisions that improve system scale, performance, reliability, and cost efficiency.
  • Lead by example and contribute to a culture of technical excellence, learning, ownership, and collaboration.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • 5+ years of professional software engineering experience building complex, data-intensive backend systems.
  • 5+ years of hands-on experience with GCP or an equivalent cloud stack in production environments.
  • Deep Python expertise for backend and API systems, plus proficiency in Rust, C++, or Java; Java experience is a strong plus.
  • Strong experience designing large-scale distributed systems with asynchronous patterns, streaming, queuing, caching, and observability.
  • Expertise with relational databases and SQL, including schema design, query optimization, and indexing, along with NoSQL, Redis, BigQuery, Snowflake, and Redshift.
  • Experience building and operating reliable, high-throughput streaming and batch data pipelines integrating heterogeneous financial data sources.
  • 3+ years of experience managing or working closely with globally distributed engineering teams.
  • Exceptional communication skills and the ability to influence technical direction across teams without direct authority.
  • Experience shipping high-quality products autonomously in unstructured, fast-moving environments.
  • Demonstrated knowledge of corporate finance, capital markets, and financial data quality standards.

Benefits

  • Opportunity to work on enterprise AI products used by leading financial institutions.
  • Substantial ownership of technically demanding systems at a rapidly scaling company.
  • Work alongside a high-performing team spanning AI and finance.
  • Opportunity to work on financial-data and AI infrastructure at significant scale.

Salary: $250k - $315k/yr

Rogo

Rogo is the purpose-built AI platform for finance.

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