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

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

This range is provided by EvenUp. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$176,000.00/yr - $264,000.00/yr

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 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.
  
  

• 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
  
  

• 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
  
  

• 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
  
  

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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