Senior Data Engineer building and maintaining customer data infrastructure for Jane's marketing platform. Overseeing data systems and driving tooling strategies while collaborating across teams.
Responsibilities
Build and maintain Jane's customer data infrastructure end-to-end: the systems, pipelines, and source integrations that carry product and marketing events from collection to warehouse.
Drive tooling strategy for Jane's collection layer, including our CDP, event pipeline, and ingestion infrastructure.
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.
Work directly with marketing, paid media, analytics, marketing operations, BI, and product as primary stakeholders.
Requirements
A University Degree in Computer Science or a related STEM field plus 5+ years of hands-on experience as a data engineer or similar.
Experience evaluating or implementing Customer Data Platforms including migrating or consolidating existing tooling.
Experience with privacy-compliant tracking and consent management.
Strong opinions (loosely held) 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). Python is a strong asset.
Familiarity with Snowflake, Looker, or similar warehouse and BI tooling is helpful.
A collaborative, pragmatic communicator who can set standards that teams actually follow and explain technical decisions clearly across engineering, product, BI, marketing, and leadership.
Comfort working with AI tools as part of your day-to-day workflow.
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