Data Engineer
RemoteMexico
Job Summary
Design and build end-to-end cloud-native data warehouses, developing robust ELT/ETL pipelines that integrate internal systems and third-party feeds. Create scalable data models for reporting, BI, and AI/ML initiatives while implementing governance and security practices aligned with U.S. financial regulations. Optimize query performance and workflows to ensure efficiency and cost control. Collaborate directly with C-suite stakeholders in the U.S. to translate business requirements into technical architecture. This role requires 4–7 years of experience building warehouses from zero to production, proficiency in SQL, Python, and Azure or equivalent stacks, and fluency in professional English. Quarterly travel to the U.S. is mandatory.
Required Qualifications
- Fluent professional English (Minimum CEFR C1)
- 4 to 7 years of verifiable experience building end-to-end cloud data warehouses (real projects taken from zero to production), not just maintaining existing systems
- Cloud Infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or equivalent on AWS/GCP
- Core Languages: Advanced SQL (dimensional modeling, performance optimization) and Python (transformation, orchestration, scripting)
- BI Tools: Power BI or equivalent (Looker, Tableau, Mode)
- Orchestration and Transformation: Azure Data Factory, Airflow, dbt, Dagster, or similar tools
- Direct Exposure to Stakeholders: Experience working directly with executives in the U.S.
- Valid US Visa (Minimum B1/B2): Confirmed availability to travel to the US quarterly
Desired Qualifications
- Microsoft Fabric (highly preferred)
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