Senior/Staff Data Engineer

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 every 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.

As one of the fastest growing startups ($0 to $10M in ARR in <2 years), we raised $65M in investment from some of the best investors in the world (Bessemer, Bain Capital, Signalfire, DCM, NFX, Tribe Capital), seasoned tech executives (i.e. founder of Quora, SVP at Google, former CPO at Uber), and public figures that care about our social mission (Nas, Jared Leto, Byron Jones). Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.

Why we are hiring a Senior/Staff Data Engineer now?

• We have experienced unprecedented growth and need to scale out our data warehousing, data tooling and internal analytics. We need to architect the future of our data infrastructure at EvenUp and we’re seeking engineering leaders to help drive that vision.

• 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.

• We need to design & build data warehousing that democratizes data for our entire organization. We will invest in identifying and integrating tools and services that empower our teams to build on top of our data and analytics.

What you’ll do:

• Democratize data at EvenUp. Ensure our organization can scale with consistent, standardized access to our data stores and accelerate our ability to build and experiment with data products

• Architect and build out the future of data warehousing at EvenUp

• Enable and empower our Data Science team to rapidly iterate on model experimentation

• Design, organize and refine data storage strategies that reduce development friction for our tech organization

• Collaborate with cross functional teams to solve critical data problems

• Help grow our nascent Data Insights team and define a “data first” mentality across our organization

What we are seeking:

• 8+ years of data engineering experience

• Previous experience building out data warehousing, data pipelines, and internal analytics

• Strong understanding and practical experience with data tooling, BI tools, and systems such as 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:

• Have previously built out a Data Insights team at a data-oriented startup

• Have previously planned and architected data migrations at scale

• Have stood up analytics tooling to enable cross-functional teams

• Domain expertise in legal technology, medical records, and working with unstructured data

A successful first year may look like:

• 75% doing system design and contributing code, starting with shipping code within 2 weeks!

• 25% collaborating with stakeholders and mentoring, lunch and learns, and more

• Leverage a self-starter mindset by taking a product concept and building the feature end to end (whether it’s a component of the system or a significant piece