Data Engineer

dot.cards is a company that creates thoughtfully designed digital business cards and networking products, having sold over 2 million devices and grown to over 1.6M users. They are seeking their first Data Engineer to build reliable data pipelines and analytics models, collaborating closely with various teams to drive outcomes through data activation.

Responsibilities:

• Own our CDP, Segment, including sources, destinations, event taxonomy, documentation, and features like Unify and Protocols
• Own the data foundations behind product analytics in Mixpanel, including sourcing, taxonomy, and data quality
• Partner with engineering, product, marketing, and sales to define requirements for downstream use cases and build reliable connections into tools like Customer.io, Salesforce, and Mixpanel
• Apply data governance, QA, and monitoring practices to ensure data is reliable and usable across teams
• Replace manual integrations and fragile workflows, including Zapier-based processes, with scalable and maintainable pipelines
• Build and maintain analytics-ready data models, primarily in dbt, for core business entities and downstream reporting and activation needs

Requirements:

• Experience working with event and product analytics tooling, including end-to-end ownership of data pipelines
• Experience with customer data infrastructure and analytics workflows. Segment experience is a strong plus
• Comfort operating in messy integration environments with imperfect source systems, missing identifiers, inconsistent history, and evolving APIs
• Strong SQL skills and experience building production-grade data models
• Ability to write clear requirements and tickets, then execute independently while coordinating across teams
• Clear, proactive communication, especially in a remote-first team spanning multiple time zones
• You don't need to know all of these on day one, but you should be comfortable picking up new tools quickly