Offer summary
Qualifications:
3+ years experience as data engineer, Proficient in Python, SQL, ETL pipelines.Key responsabilities:
- Build real-time data pipelines for financial documents
- Deploy and monitor ETL pipelines
Rogo is a generative AI platform for financial firms (investment banks, hedge funds, and private equity investors).
We're reinventing how people work, starting with financial services.
Our team is lean, smart, and enormously ambitious.
We're growing very fast, and we work in person at our beautiful office in NYC.
Our mission is to make people smarter by giving everyone an AI analyst.
We're dead set on building the biggest Financial AI company in the world.
Exceptional early traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms.
World-class team: we take talent density seriously. We like working with incredibly smart, driven people.
Crazy velocity: we work fast, which means you learn a lot and constantly take on new challenges.
Cutting-edge technology: we're working on the most advanced AI systems, working past the edge of published research, redefining what's possible, and inventing the future.
N-of-1 Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing how you discover, create, and share knowledge.
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 have fun solving problems that others think are impossible
You are high-intensity and care a lot about what you do
You are ecstatic to work at a start-up
You're innately curious and find joy in learning about AI and finance
You are autonomous, self-directed, and comfortable working with ambiguity
You have eclectic interests
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