Build unified data models for payments and subscriptions across all revenue streams
Design automated reconciliation pipelines and audit trails
Create foundational billing infrastructure for AI agent usage and consumption products

Requirements

7+ years in data engineering with significant exposure to financial and payments data
Deep experience with Stripe or similar billing data models
Strong understanding of SaaS financial metrics (ARR, MRR, churn, expansion)
Experience building reconciliation pipelines and automated discrepancy detection
Expert-level SQL and dbt proficiency
Track record working directly with Accounting and Finance teams on data accuracy requirements
Experience operating in ambiguous environments where you define the requirements, not just execute them

Benefits

Competitive Salary & Equity
401(k) Program
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Commuter Benefits
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement
Flexible Time Off (FTO) + Holidays
Quarterly Team Gatherings
In Office Amenities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringSQLdbtbilling data modelsreconciliation pipelinesautomated discrepancy detectionfinancial metricspayments dataAI agent usagebilling infrastructure

Soft skills

problem-solvingcommunicationcollaborationadaptabilityattention to detail