Analytics Engineer, Finance

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.

As an Analytics Engineer on the Finance Team you will build and maintain data models, transformation pipelines, and reporting which will be leveraged by the Finance team. You will have ownership around the accuracy and consistency of data and dictionaries for reporting and analytics within the Finance domain.

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  Enable the Finance team by providing documented, auditable, trusted tables that analysts and AI-assisted workflows can use without engineering support

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  Design and build the Finance warehouse on Google Cloud (BigQuery), including environments, access controls, cost management, and documentation

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  Own PHI identification and removal by inventorying source columns, classifying them, and building the scrubbing layer (e.g., field-level removal, tokenization, and free-text redaction)

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  Define data specifications and partner cross-functionally with Analytics to ingest and incorporate necessary data feeds

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  Define and operate controls in partnership with Legal and Security to set the de-identification standard and automate checks for PHI leakage

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  Build finance data models in dbt, including recognized revenue, billings, cash collections, CARR bridge, and credit consumption

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  Reconcile and validate warehouse outputs against Salesforce, Stripe, and the general ledger

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  Transition existing finance workstreams and models from shared warehouse datasets to the new Finance-owned environment

• 5+ years of data engineering, including at least one data warehouse built from scratch, ideally in finance at a pre-IPO company

• Experience supporting finance, accounting, or revenue operations teams

• Strong SQL, hands-on data modeling, and dbt experience, with familiarity with medallion architecture

• Hands-on experience with BigQuery or comparable cloud data warehouse, including IAM, security controls, and policy tags

• Experience de-identifying or restricting access to sensitive data (PHI, PII, financial data) and working knowledge of HIPAA de-identification methods

• Experience building tested, documented dbt models that enable analyst self-sufficiency

• Comfort partnering with Legal, Security, and Finance stakeholders to explain technical tradeoffs

• Ability to work independently with no existing playbook; innate curiosity and root-cause analysis skills

• Proficiency with software engineering best practices, including Git version control

• Agentic coding tools (e.g., Claude Code, Cursor, Codex) are part of your regular workflow, and you verify and take ownership of AI-generated output

• Experience building, shipping, evaluating, and monitoring LLM or agent systems in production

• Google Cloud Sensitive Data Protection (DLP) or similar redaction tooling

• Familiarity with Salesforce data models, Stripe billing data, or an ERP such as NetSuite

• Experience with Metabase or similar BI tools

• Python experience

• Background in legal tech, healthcare, or another regulated industry