Analytics Engineer, Finance

Location: Remote-US; remote work. Hubs in San Francisco and Toronto; local in-person meet-ups may be available.

Estimated base salary: $160K–$180K, plus equity.

Company

hirify.global is a vertical SaaS company using technology and AI to help personal injury lawyers and victims secure faster settlements, higher payouts, and better outcomes.

What you will do

• Build and maintain documented, auditable, trusted finance data models, transformation pipelines, tables, and reporting.
• Design and build the Finance warehouse on Google Cloud and BigQuery, including environments, access controls, cost management, and documentation.
• Inventory, classify, and remove PHI through field-level removal, tokenization, free-text redaction, and automated leakage checks.
• Define data specifications and partner with Analytics, Legal, Security, and Finance to ingest data feeds and establish de-identification controls.
• Build dbt models for recognized revenue, billings, cash collections, CARR bridge, and credit consumption.
• Reconcile warehouse outputs with Salesforce, Stripe, and the general ledger, and transition existing finance workstreams to the Finance-owned environment.

Requirements

• 5+ years of data engineering experience, including at least one data warehouse built from scratch; finance experience at a pre-IPO company is preferred.
• Experience supporting finance, accounting, or revenue operations teams.
• Strong SQL, hands-on data modeling, dbt experience, and familiarity with medallion architecture.
• Hands-on BigQuery or comparable cloud data warehouse experience, including IAM, security controls, and policy tags.
• Experience de-identifying or restricting access to PHI, PII, or financial data, with working knowledge of HIPAA de-identification methods.
• Experience building tested and documented dbt models that enable analyst self-sufficiency.
• Ability to partner with Legal, Security, and Finance stakeholders, explain technical tradeoffs, work independently without an existing playbook, and perform root-cause analysis.
• Proficiency with software engineering best practices, including Git version control.

Nice to have

• Regular use of agentic coding tools such as Claude Code, Cursor, or Codex, with verification and ownership of AI-generated output.
• Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
• Google Cloud Sensitive Data Protection 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, and Python.
• Background in legal tech, healthcare, or another regulated industry.

Culture & Benefits

• Full-time employment with medical, dental, vision, life, accident, and critical illness insurance options.
• Flexible paid time off, sick leave, short-term and long-term disability, and paid parental leave.
• Ten US observed holidays and Canadian statutory holidays by province.
• Home office stipend, local in-person meet-up program, and hubs in San Francisco and Toronto.
• 401(k) for US-based employees and RRSP for Canada-based employees.
• Success milestones include completing the source and PHI inventory within 90 days, landing core finance sources and passing automated PHI checks within six months, and enabling Finance-owned reporting within 12 months.

Hiring process

• Submit the application directly through the careers page; resumes and expressions of interest are not accepted by email or social media.
• Interviews may be recorded and summarized using AI notetakers or other recording devices with candidate consent; recording is optional and declining does not affect candidacy.