Data Engineer

Data Engineer dot. Cards Los Angeles, CA Job Details Full-time $130,000 - $175,000 a year 11 hours ago Qualifications Jira Data model design Data Integration (Data management) Requirements specification SQL databases Data modeling projects Salesforce Shopify Mid-level Scalable systems Taxonomy SQL Zapier Data quality monitoring Data analytics APIs Scalability Cross-functional collaboration BigQuery Cross-functional communication Stripe payment processing Full Job Description About dot.cards 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. 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, 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. What You'll Do 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 What We'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. 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. Why dot.cards 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 in a high-trust, fast-moving environment

Compensation Range:

$130K - $175K