Staff Data Engineer

Jane.app

Data Engineer leading the development of Jane's customer data infrastructure at a high-growth SaaS company. Collaborating with cross-functional teams to enhance data architecture standards.

Posted 7/29/2026full-timeRemote • 🇨🇦 CanadaLead💰 CA$152,000 - CA$237,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining customer data infrastructure, with a strong focus on identity resolution, attribution, and privacy-compliant tracking. Proficient in JavaScript, TypeScript, and SQL, while effectively collaborating with cross-functional teams to drive data strategy and execution.

Highest-signal resume keywords

Customer Data Platform ImplementationIdentity ResolutionAttribution TrackingJavaScript ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills

Data EngineeringSchema DesignEvent TaxonomyData QualityPrivacy-Compliant Tracking

Soft Skills

LeadershipStrategic ThinkingCollaboration

Tools & Technologies

AI Tools

Certifications & Qualifications

University Degree in Computer Science

Industry Keywords

Consent ManagementInstrumentation StandardsCross-Domain Tracking

Tech Stack

Tools & technologies

JavaScriptSQLTypeScript

About the role

Key responsibilities & impact

Own the how, not just the what: apply strong product sense to set direction, shape standards, and elevate execution.
Build and maintain Jane's customer data infrastructure end-to-end.
Work directly with marketing, paid media, analytics, marketing operations, BI, and product as primary stakeholders.
Drive tooling strategy for Jane's collection layer.
Establish instrumentation standards within engineering, product, and marketing.
Take ownership of identity resolution and attribution at the collection layer.
Navigate the realities of consent-gated instrumentation.

Requirements

What you’ll need

A University Degree in Computer Science or a related STEM field plus hands-on experience as a data engineer or similar
Comfortable leading and owning both the strategy as well as the execution
Experience evaluating or implementing Customer Data Platforms
Experience with privacy-compliant tracking and consent management
Strong opinions on schema design, event taxonomy, and data quality
Experience with identity resolution, attribution, or cross-domain tracking
Proficiency in JavaScript or TypeScript and SQL (required)
Comfort working with AI tools as part of your day-to-day workflow

Benefits

Comp & perks

Health insurance
Comprehensive benefits package
Career development conversations