Senior Data Engineer I at Elsevier

This role is designed for a senior engineer with deep experience in the modern data stack, specifically managing complex orchestration and transformation workflows. You should have a strong background in DataOps and a history of building scalable, secure pipelines within a cloud environment to support global research and healthcare data. **What makes it worth a look...** Elsevier offers a robust Mexico-specific benefits package including a savings fund, grocery vouchers, and private medical and dental plans. The position provides meaningful work by supporting global health outcomes while maintaining a healthy work-life balance through flexible arrangements and sabbatical options. **You might be a good fit if you...** * Have professional experience building data pipelines with Airflow, Snowflake, and DBT. * Can write clean, deployable code using Python, SQL, and Jinja. * Are comfortable using Terraform and Docker to manage infrastructure as code. * Understand data governance and security practices within a global analytics landscape.