Data Engineer

### **THE PLACE** ITRex \- AI pineers who build systems that actually work in the real world, not just in demos. We're 250\+ people spread across the US and Europe, creating solutions for companies like P\&G and Shutterstock. We keep it simple, build it right, and focus on what works. ### **THE PEOPLE** We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas \- just people who care about doing good work together and supporting each other to get there. ### **THE ROLE** We are looking for a Data Engineer to join a data platform project focused on modernizing and scaling analytical data pipelines. This is a hands\-on role where you will contribute to the development, improvement, and support of cloud\-based data solutions while working closely with experienced engineers and stakeholders. **Responsibilities:** * Design, develop, and maintain end\-to\-end data pipelines: from ingestion to curated data models in a cloud data warehouse (Snowflake) * Support data ingestion processes, including configuring and maintaining automated data connectors (e.g. Fivetran or similar tools) * Contribute to the migration of existing ETL workflows to dbt, ensuring logic parity, performance improvements, and better maintainability * Develop well\-structured, modular dbt models, macros, and tests following best practices * Participate in architectural discussions and help shape standards for data modeling, testing, and deployment * Collaborate with business stakeholders and analytics users to translate requirements into reliable data models and metrics * Contribute to improving data quality, observability, and documentation across the data platform **Requirements** **Technical Skills** * 4\+ years of experience in Data Engineering * Strong SQL skills with attention to performance, readability, and maintainability * Hands\-on experience with dbt (models, macros, tests, documentation) * Experience with ETL development and data migration projects * Experience in developing and maintaining scalable ETL processes and cloud\-based data solutions * Understanding of Data Lakes and Data Warehousing architectures * Experience working with data cataloging and data management tools * Familiarity with CI/CD practices for data deployment and automated testing **Business \& Collaboration** * Experience working with cross\-functional teams and business customers * Excellent communication skills, both verbal and written, with an ability to convey information clearly and concisely * Proactive mindset with the ability to take responsibility for assigned tasks * Collaborative and team\-oriented approach in Agile environments * Ability to work independently within a defined technical framework * English proficiency: Upper\-intermediate and above **Nice to have:** * Proficiency in Python for data engineering and data analytical tasks * Familiarity with ETL tools like Fivetran * Hands\-on experience ensuring data quality **Benefits** Why people stay **First, the foundation:** * **Remote flexibility:** Work where and how you work best \- we trust you to deliver * **Fair compensation:** Competitive salary \+ benefits that matter (medical, wellness, learning) **Then, the growth:** * **Ownership opportunities:** See a problem worth solving? Own it. We back smart risks over bureaucratic safety * **AI enhancement:** We leverage AI to make you faster and stronger \- complementing your abilities, not replacing them * **Learning investment:** English classes, professional development, well\-being support * **Career progression:** Real paths up, not just sideways shuffling **Finally, the people:** * **Reliable teammates:** No radio silence, no "not my problem" attitudes * **Supportive culture:** When you're stuck, people help. When things break, we fix them together * **Human connections:** Regular meetups, tech talks, and actual relationships beyond work ### **Curious? We are too. Let's talk**