We serve investors, traders, and quants with a platform to design investment strategies. They code up trading strategies and test them on historical data. When they're ready they can live trade it on their brokerage.

Under the hood we curate and update hundreds of terabytes of data - covering financial data (e.g. stock prices, options prices), fundamental (e.g. PE Ratios, company debt), and alternative sources (e.g. news articles, sentiment). We have a powerful data processing stack that handles ingestion and distribution of all this data to our different consumers who need it.

Responsibilities

We're seeking a full-time, mid to senior C# engineer to manage, maintain, and expand our data stack. Your responsibilities would be:

Monitoring existing data infrastructure (historical processing, daily data updates, and live feeds).
Debugging and improving data infrastructure when required.
Responding to user reports of data issues, patching data.
Working with third-party vendors to source data for gaps.
Onboarding new data-sources to give our community more content for strategies.

Required Skills

Strong at C#, Linux, Dot Net, OOP coding, and python scripting.
Strong at enumerable, streaming code design, efficiently working with terabytes of data.
Comfortable with high stakes, on-call nature of data engineering.
Meticulous attention to detail to scan and identify issues with data quickly.

Our Ideal Candidate

Clones our repository (LEAN); builds it successfully; runs the unit tests, attaches the test results to the job application. One click applications, AI applications, and applications without this test data will be ignored.