$85k - $120k •
We are on a mission to change the way that legal disputes are resolved by financing attorneys and plaintiffs who can't afford the high costs of litigation, leveling the playing field, and moving the legal system to more equitable outcomes. We fund lawsuits, and we want to see plaintiffs with meritorious lawsuits get justice. We're a team of engineers, lawyers, finance gurus, and data scientists who make real-time investment decisions in a fast-paced environment.
Skills: Django, Kubernetes, Python, Google Cloud, Distributed Systems, PostgreSQL
Founded by Christian Haigh & Eva Shang in 2016, Legalist sits at the forefront of AI-enabled legal-asset finance. Backed by YCombinator, Refactor Capital & other Silicon Valley investors, we utilize cutting-edge artificial intelligence technology to invest in litigation-related situations. We use public court records and statistical analysis to invest in impending lawsuits by providing capital to lawyers & plaintiffs who need it most. Legalist currently manages over $200M across multiple legal asset strategies.
As Legalist continues to grow, we are looking for talented innovators to further build out our product, engineering, & investment teams. Start a conversation with us & join us in the journey of driving the future of legal assets.
We are now looking to add a Data Engineer to our growing tech team. You’ll work closely with our other engineers to help design and build the future of our data and analytics infrastructure. Expect to directly influence our entire tech stack, from standards to frameworks to architecture. We're looking for people who will naturally take ownership of data products and who can bring a project all the way from fast prototype to production
Responsibilities: Collaborate with teammates to design data pipelines and APIs, seeking and offering feedback along the way. Contribute towards improving Legalist’s internal data processing tools and frameworks. Build tools to extract data from various sources to enrich the data that we collect - we ingest a lot of data! Contribute to, and help design, the target state data technical roadmap in collaboration with our technology and business partners
Key Qualifications: Highly proficient in SQL and Python or similar programming languages. 3+ years of relevant hands-on experience in architecture, design and development of enterprise data solutions that enables well integrated operational, BI and analytical platforms. A love for technology, API’s, and an insatiable curiosity for tackling problems. Experience developing and updating subject area and application-specific data models across the enterprise to translate business rules into conceptual, logical and physical data models for reporting and advanced analytics. Experience with cloud environments like GCP, AWS, as well as cloud solutions like Kubernetes, Docker, etc. Experience with Git workflows, continuous integration and automated build pipelines
Even better if you have, but not necessary: Productionized ML experience . Experience creating scalable and custom scraping jobs using Scrapy, Nutch or something similar.
Benefits: Competitive salary Health, dental, and vision Annual Company Retreat Twelve paid vacation days plus ten bankable federal holidays
Technology is the core of our business. We have developed sourcing and diligencing tools that allow us to underwrite thousands of lawsuits at scale. The platform is powered by GCP and AWS, and is composed of a central PostgreSQL database, a django application, and many micro-services.
Our goal is to improve the current platform by introducing new technologies and methodologies to our development process. Our engineers work closely with our business and underwriting teams to improve their ability to service our clients.
Candidates should expect to take ownership over their own projects and to have the latitude and ability to solve complex issues, take ownership of them and execute and deliver. Our extremely diverse team spans legal, finance, engineering, and operations and works on the cutting edge of the legal industry.