Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, develop, and manage contemporary, end-to-end, cloud-native data warehouses.

• Create and uphold resilient ELT/ETL pipelines that integrate various internal systems (servicing, origination, CRM) along with third-party data sources.

• Construct scalable data models for reporting, BI (semantic layer), and future AI/ML projects.

• Enforce data quality, governance, and security measures in compliance with strict U.S. financial regulations.

• Collaborate closely with C-suite executives and directors in the U.S. to convert business needs into technical data architecture.

• Enhance the performance of queries, pipelines, and workflows to ensure efficiency and manage costs.

⛳️ Requirements

• 4 to 7 years of demonstrable experience in building end-to-end cloud data warehouses.

• Proficiency in Microsoft Fabric (highly preferred) OR adaptable stacks (BigQuery, Snowflake, Databricks).

• Experience with cloud infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or its equivalents on AWS/GCP.

• Core skills in advanced SQL (dimensional modeling, performance tuning) and Python (for transformation, orchestration, scripting).

• Familiarity with BI tools: Power BI or similar (Looker, Tableau, Mode).

• Knowledge of orchestration and transformation tools: Azure Data Factory, Airflow, dbt, Dagster, or comparable solutions.

• Valid US Visa (minimum B1/B2): Confirmed ability to travel to the U.S. quarterly.

• Direct interaction with stakeholders: Proven experience working directly with executives in the U.S.

🏝️ Benefits

• Options for remote work.

• Opportunities for professional development.