dot. Cards - Data Engineer
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 • Tools You’ll Work With • Segment, Mixpanel, BigQuery, dbt, Customer.io, Salesforce, Shopify, Stripe, Jira • You don’t need to know all of these on day one, but you should be comfortable picking up new tools quickly.
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 • 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
Benefits
• $6K – $8K per month • dot.cards makes the world’s most thoughtfully designed digital business cards and networking products. We’ve sold over 2 million devices, grown to 1.6M+ users across 35,000+ companies, and our profiles have been shared over 100 million times. • Our business spans e-commerce, enterprise SaaS through dot.teams, and a recently launched mobile app, which makes the data challenges here uniquely interesting. • We’re bootstrapped, profitable, and growing. Our headquarters are in Los Angeles, and we have an international office in Bucharest, Romania. • We’re hiring our first Data Engineer to own high-trust data pipelines and analytics models across our stack. • This role sits at the intersection of every part of the business. You’ll build reliable integrations, well-modeled datasets, and strong QA and monitoring, partnering closely with engineering, product, marketing, and sales to drive outcomes through data activation. • This is a remote position based in Romania. We have a physical office in Bucharest that you’re welcome to use, but it’s not required. You’ll work closely with our CTO and Romania-based engineering team. • You’ll be our first dedicated analytics engineering hire, with the opportunity to shape the foundation of how data is collected, modeled, and activated across the business. • Bootstrapped and profitable, with the stability to invest in long-term systems and the speed to move quickly • First data hire, with the opportunity to define architecture and set the standard • Unique data surface area across e-commerce, enterprise SaaS, and mobile app • Work closely with our CTO and Romania-based engineering team in a high-trust, fast-moving environment • Office in Bucharest available if you want it, fully remote if you don’t
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