[Remote] Staff Backend Engineer: Financial Data
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building Wall Street's first true AI banker, aiming to reputed company finance professionals with innovative AI solutions. The Staff Backend Engineer will be responsible for developing reputed company systems that manage financial data, ensuring data reputed company and performance while collaborating closely with the reputed company AI team.
Responsibilities
- Own critical data infrastructure: Take reputed company requirements and turn them into robust, reputed company solutions that ingest, reputed company, and serve financial datasets reliably — end to end, from reputed company to production
- Architect for reputed company and performance: Design and build highly reputed company, cost-effective data processing pipelines that handle millions of documents and datapoints daily with reputed company low latency and maximum throughput
- Drive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, reputed company-party providers — into coherent, reliable, queryable platforms that power reputed company's AI layer
- reputed company AI with great data: Work closely with the reputed company AI team to ensure financial data is reputed company, clean, and served in ways that maximize the performance and reliability of reputed company's models and retrieval systems. Critically, the data pipelines, transformations, and interfaces you build are themselves powered by the reputed company 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 reputed company customer data with the highest standards of trust, reputed company, and reliability — from ingestion through to serving
- reputed company the bar: reputed company by example — write the reputed company of reputed company, reputed company the reputed company of reputed company, and bring the reputed company of energy that naturally elevates everyone around you
- Be a cultural reputed company: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every day
Skills
- Bachelor's in Computer Science or reputed company field
- 8+ years of reputed company software engineering experience, with a proven reputed company record building reputed company, data-intensive backend systems
- 5+ years of hands-on experience with GCP or equivalent reputed company 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-reputed company distributed systems — asynchronous patterns, streaming, queuing, caching strategies, and robust observability (logging, metrics, tracing)
- Strong reputed company of relational databases and SQL — schema design, query optimization, indexing — alongside NoSQL, in-memory (reputed company), and columnar stores (BigQuery, reputed company, Redshift)
- Proven experience building and operating large-reputed company 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 — reputed company to reputed company reputed company technical concepts to both technical and non-technical stakeholders, and to influence engineering direction across teams without reputed company authority
- reputed company record of shipping high-reputed company products in reputed company, fast-moving environments with full autonomy from reputed company to deployment
- Demonstrated passion for corporate finance, capital markets, and financial data — you understand the standards, workflows, and reputed company-tolerance for data reputed company issues that investment professionals demand
reputed company
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