Sobre

• 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
• 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
• 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