We’re looking to bring on board Software Engineers focused on our Data Pipelines as we’ve experienced unprecedented growth and need to build & scale out our data pipelines and infrastructure. We’re looking for strong team members to help architect and drive forward the vision of our ideal data infrastructure at EvenUp. We will need to 10x our pipeline processing throughput over the next 12 months. We’ll need to rethink and rebuild how we extract, process and model our ingestion to enable our organization with precise and actionable data.
What you'll do:
Build fault tolerant data pipelines to process diverse datasets at EvenUp
Design and develop modularized services to increase the capabilities and scope of our data infrastructure
Collaborate with our DS team to Integrate ML models into our production workflows and simplify ML deployment and observability
Implement event driven, low latency systems to empower our stakeholders with accurate and reliable data
Analyze and solve key performance bottlenecks, scaling challenges, and high availability issues.
Mentor and coach junior team members
Help grow our engineering team and define a “data first” mentality across our organization.
What we we look for:
8+ years of industry experience designing and building distributed data systems
Previous experience architecting and scaling event driven architectures
Strong understanding and practical experience with data pipeline tooling and storage systems such as Dagster, DBT, BigQuery, Elasticsearch
The ability to communicate cross-functionally with various stakeholders to derive requirements and architect scalable solutions
Have several years of industry experience building high-quality software, shipping production-ready code and infrastructure
You enjoy owning a project from start to finish and love to drive a project across the finish line.
Interest in making the world a fairer place (we don’t get paid unless we’re helping injured victims and/or their attorneys)
Nice to haves:
Fluency in Python, SQL and GraphQL
Previous experience integrating ML models and LLMs into data services
Domain expertise in legal technology, medical records, and working with unstructured data
Benefits & Perks:
Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, we offer:
Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off and 10+ holidays per year
A stipend to upgrade your home office for fully-remote roles
401k for US-based employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About EvenUp:
EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims each year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents.
Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.We are one of the fastest growing startups ($0 to $10M in ARR in <2 years) and are funded by some of the best investors in the world, including Signalfire, Bain, and Bessemer, who led our recent $50M Series B.