[Hiring] Data Engineer - Onboarding @Sardine

Role Description

We are looking for a Senior Data/ML Engineer to own the data and machine learning foundation that Sardine's compliance decisions run on. This role owns those pipelines end to end:

• How data arrives
• How it becomes a feature
• How that feature becomes a model
• How that model stays correct in production

This is a high-impact, highly technical IC role sitting at the intersection of data engineering and ML engineering. We need someone at the senior level to set technical direction for the next order of magnitude:

• New feature generation
• Build specific models around KYC onboarding
• In-house entity matcher for sanctions and more

You will write production code, make architectural calls that outlive your tenure, and raise the bar for how a small team ships fraud ML. You will work directly with data scientists, backend engineers, and the fraud analysts who use what you build.

Qualifications

• 8+ years building production data and ML systems
• Deep Python and strong SQL
• Hands-on experience with a modern cloud data stack (GCP strongly preferred)
• Practical ML engineering depth
• Experience with high-volume, low-latency serving
• Domain experience in fraud, risk, payments, lending, or identity/KYC
• Comfort with data governance in a regulated environment
• Strong written communication
• A bias toward action and comfort in ambiguity

Requirements

• Own the data ingestion layer that brings device telemetry, transaction events, KYC/identity signals, and third-party enrichment into the platform
• Build and evolve our feature platform
• Establish feature correctness as an engineering discipline
• Productionize fraud and identity ML models
• Engineer KYC, AML, and identity risk signals
• Integrate and harden new data sources
• Own the warehouse and modeling layer in BigQuery
• Design the entity resolution and graph data
• Make the platform safe by construction
• Set technical direction and raise the team's ceiling

Benefits

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and vision coverage for employees and dependents
• 4% matching in 401k / RRSP
• MacBook Pro delivered to your door
• One-time stipend to set up a home office
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend