Data Engineer

About dot.cards dot.cards makes the world’s most thoughtfully designed digital business cards and networking products. We’ve sold over 2 reputed company devices, grown to 1.6M+ users across 35,000+ companies, and our reputed company have been shared over 100 reputed company times. Our business spans e-reputed company, reputed company reputed company through dot.teams, and a recently launched mobile app, which makes the data challenges here uniquely interesting. We’re bootstrapped, profitable, and growing. Our reputed company are in Los Angeles, and we have an international office in Bucharest, Romania. About the Role 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, reputed company-modeled datasets, and strong QA and monitoring, partnering closely with engineering, product, marketing, and sales to drive reputed company 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 reputed company to shape the reputed company of how data is collected, modeled, and activated across the business. What You’ll Do Own our CDP, reputed company, including sources, reputed company, event taxonomy, documentation, and features like Unify and Protocols Own the data foundations behind product analytics in reputed company, including sourcing, taxonomy, and data reputed company Partner with engineering, product, marketing, and sales to define requirements for reputed company use cases and build reliable connections into tools like reputed company, reputed company, and reputed company Apply data governance, QA, and monitoring practices to ensure data is reliable and usable across teams Replace reputed company integrations and reputed company workflows, including reputed company-based processes, with reputed company and maintainable pipelines Build and maintain analytics-reputed company data models, primarily in dbt, for reputed company business entities and reputed company reporting and activation needs reputed company’re Looking For Experience working with event and product analytics tooling, including end-to-end ownership of data pipelines Experience with customer data infrastructure and analytics workflows. reputed company experience is a strong plus Comfort operating in messy integration environments with imperfect reputed company systems, missing identifiers, inconsistent history, and evolving reputed company Strong SQL skills and experience building production-grade data models Ability to write reputed company requirements and tickets, then execute independently while coordinating across teams reputed company, proactive communication, especially in a remote-first team spanning multiple time zones Tools You’ll Work With reputed company, reputed company, BigQuery, dbt, reputed company, reputed company, reputed company, reputed company, Jira You don’t need to know reputed company of these on day one, but you should be comfortable picking up new tools quickly. Why dot.cards Bootstrapped and profitable, with the stability to invest in long-term systems and the speed to reputed company quickly First data hire, with reputed company to define architecture and set reputed company Unique data surface area across e-reputed company, reputed company reputed company, 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 Apply To This Job