The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

The Team:

The Data & Analytics team at EvenUp plays a critical role in driving data-informed decision-making across the organization. We partner closely with Product, Engineering, Operations, and Executive teams to uncover insights, build scalable data solutions, and enable a culture of data-driven decision making and continuous improvement. Our team is responsible for everything from foundational data modeling and reporting to advanced analytics and forecasting.

We’re looking for a Senior Data Engineer to join our fast-paced, data-driven team. You’ll play a key role in building and scaling the data platform that enables fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives and work alongside Data Scientists, ML Engineers, Product Managers, Software Engineers and Operations.

Please Note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.

What You'll Do:

• Partner with product, analytics, and operations teams to understand data needs and translate them into scalable models and pipelines.

• Build and maintain a robust data platform, with well-documented ELT/ETL pipelines using dbt, Airflow/Dagster, and BigQuery/Snowflake (or similar).

• Own the design and implementation of data pipelines that support product development & instrumentation, BI reporting, and data experimentation.

• Improve data quality and reliability by establishing and maintaining testing, monitoring, and observability best practices.

• Help drive our data architecture forward with a focus on usability, performance, strong data governance, and scalability.

• Mentor other engineers and analysts on data & software best practices, modeling standards, and tooling.

What We're Looking For:

• 4+ years of experience as a Data Engineer or Software Engineer ideally in product-focused, fast-paced environments

• Strong proficiency in Python for data wrangling and orchestration logic, and comfortable navigating Python application codebases

• Strong proficiency in SQL for data transformation, utilizing transformations tool such as dbt to create reusable data models

• Strong experience with designing dimensional models and defining clear source-of-truth metrics

• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Metabase)

• A self starter, comfort working in fast paced and evolving environments with a bias toward action

• Excellent communication skills and experience collaborating closely with product managers and business stakeholders

• Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively

• Strong attention to detail, structured thinking, and experience developing processes to reduce human error

Bonus Points:

• Experience working as a product software engineer

• Experience working in the legal domain

• Experience working with document processing with unstructured data

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

• Choice of medical, dental, and vision insurance plans for you and your family

• Additional insurance coverage options for life, accident, or critical illness

• Flexible paid time off, sick leave, short-term and long-term disability

• 10 US observed holidays, and Canadian statutory holidays by province

• A home office stipend

• 401(k) for US-based employees and RRSP for Canada-based employees

• Paid parental leave

• A local in-person meet-up program

• Hubs in San Francisco and Toronto

Please note the above benefits & perks are for full-time 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.

Compensation Range: $136K - $226K