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    Data Engineer - New York, United States - Rogo

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    Description

    Why Rogo?

    Rogo will be the biggest Financial Services Artificial Intelligence company in the world. We're creating a category-defining AI company built on top of foundational AI models like GPT-4.

    • Exceptional early users: high-paying contracts with the world's largest investment banks, hedge funds, private equity firms, and consultants.
    • Massive demand: extensive waitlist of firms waiting for deployment.
    • World-class team: we take talent density very seriously. We like working with incredibly smart, driven people.
    • Cutting-edge technology: Work directly with the world's most advanced LLMs, AI, and RAG to build the future of generative AI and redefine finance.

    Challenges:

    We are building systems that can automate the most complex knowledge work in the world, e.g., financial analysis, research, due diligence, and more.

    • Creating financial research that's worth paying attention to: aggregating, analyzing, and producing insights from real-time information. Say goodbye to equity research.
    • Dealing with the most sensitive data in the world: client data from the largest financial services companies on earth.
    • Working past the edge of published AI research: tackling problems beyond the complexity of existing AI benchmarks.
    • Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning/training/segregating models per task, client, and so on.

    As a Data Engineer at Rogo, you will help build out our real-time data pipelines for millions of unstructured financial documents to feed our financial LLM. It's cutting-edge data engineering at the AI frontier.

    Hard Requirements:

    • 3+ years of industry experience as a data engineer
    • Highly proficient with Python and SQL, and an intuitive understanding of multi-threading, multi-processing, asyncio, and other concurrency primitives
    • Experience with at least one of: Postgres, Snowflake or Elasticsearch
    • Experience deploying and monitoring mission-critical ETL pipelines with large and heterogenous datasources
    • Experience working with Apache Airflow
    • Experience with AWS or other cloud environment

    Bonus Requirements:

    • Experience with a strongly typed language (e.g., Rust)
    • Experience at a hypergrowth startup
    • Financial Services work experience
    • Experience with stream processing
    • Knowledge of Datadog and other Telemetry tooling

    You'll fit in at Rogo if...

    • You have fun solving hard problems: we're tackling tech/product/business problems that are unsolved. It's super exciting.
    • You like to work hard: we feel lucky to work on these problems, and we enjoy pouring our all into solving them.
    • You care deeply about talent density: we care deeply about working with people who are super smart and motivated.
    • You have eclectic interests: whether you're a sci-fi aficionado, history buff, strategy game guru, policy wonk, or movie trivia expert, you'll find kindred spirits here.

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