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Data Engineer, Sovereign
3 months ago
About Nascent...
Founded in 2020, Nascent exists to build, expand, and capture opportunity, in open markets and permissionless technologies. Building from a base of permanent capital, we deploy assets across a range of both liquid and long-term strategies that ensure we are among the most active users of the open financial system we are helping to build. We've made venture investments in 50+ early-stage teams that we believe have the potential to create substantive change, expand boundaries, and find new horizons. We are consistently on the hunt for the most competitive and curious minds exploring the edges of the crypto ecosystem and leverage our hyper flexible structure to accelerate ideas into fully deployed strategies.
About Sovereign
Sovereign is a leading-edge proprietary trading fund at the forefront of innovation and intellectual property (IP) rights incubated within Nascent. Sovereign is building a unique approach to IP that enables individuals to retain full rights to the IP they create, ensuring value alignment between the creator and the company. This distinctive approach permits researchers the autonomy to potentially spin-off their IP into an independent entity, of which Sovereign will have an option to acquire 20%.
This approach minimizes the need for conventional employment limitations and constraints, offering increased slack. Our goal is to assemble a team of high-variance individuals, affording them the time, freedom, and motivation to discover and attempt their visions.
In the context of financial markets, higher-variance can lead to extreme results—from wild successes to uninvestable failures.
This process also produces uncorrelated results, creating an ideal environment for debate in a field where intellectual honesty is a prerequisite. Variance will grow when individuals are unconstrained. We aim to build a lab where diversity of ideas obtained through independent exploration leads to quality collaborations and discussions.
The Opportunity
We are looking for a Data Engineer that could take on several general projects for the team. The role involves maintaining large historical data stores from many different sources and cleaning the data and building tools for researchers to access this data easily in different format.
Experience Required
- Demonstrated abilities in one of the Python data frame libraries (Pandas|Polars)
- Ability to automate data collection from many different sources (websocket, api, S3, etc...)
- Ability to handle reasonably large quantities of data (>10 TB,
