Senior Data Engineer - Analytics (San Francisco) Job at EvenUp, San Francisco, CA

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  • EvenUp
  • San Francisco, CA

Job Description

Join to apply for the Senior Data Engineer - Analytics role at EvenUp

Join to apply for the Senior Data Engineer - Analytics role at EvenUp

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

The 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 - Analytics to join our fast-paced, data-driven team. You’ll play a key role in building and scaling the data foundations that enable 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 in San Francisco OR Toronto, Canada.

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 robust, well-documented ELT pipelines using tools like dbt, Airflow/Dagster, and Snowflake (or similar).
  • Own the design and evolution of data models that support reporting, experimentation, and product feature instrumentation.
  • Improve data quality and reliability by establishing and maintaining testing, monitoring, and alerting 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 best practices, modeling standards, and tooling.

What We're Looking For

  • 4+ years of experience as a Data Engineer, Analytics Engineer or Business Intelligence Engineer, ideally in product-focused, fast-paced environments
  • Strong experience with designing dimensional models and defining clear source-of-truth metrics
  • Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala for data wrangling or orchestration logic
  • 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 with DBT / Bigquery / Dagster / Python
  • 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 ( 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 or no-reply@ashbyhq.com email address.

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

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, here is a preview of what we offer:

  • Choice of medical, dental, and vision insurance plans for you and your family
  • Flexible paid time off
  • 10 US observed holidays, and Canadian statutory holidays by province
  • A home office stipend
  • 401(k) for US-based employees
  • Paid parental leave
  • Sabbatical program
  • A meet-up program to get together in person with colleagues in your area
  • Offices in San Francisco and Toronto

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

About EvenUp

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at

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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Technology, Information and Internet

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Job Tags

Full time, Work at office, Worldwide, Home office, Flexible hours, 3 days per week,

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