Are you looking to make a meaningful impact by enabling data-driven solutions that support integral health?
Do you want to join a collaborative, inclusive, and innovative team where your work helps improve healthcare outcomes worldwide?
About Our Team
The AIS (Academic Information Systems) DataOps team is responsible for managing the complex flow of data across teams, data centers, and organizational boundaries. Data is sanitized, consolidated, modeled, documented, and visualized to help tell a bigger story around how our products are used to help faculty members and researchers advance the missions of their organizations.
About The Role
As a Senior Data Engineer II, you will contribute to building secure, scalable, and dependable data infrastructure that supports global teams and business needs. You will work collaboratively with colleagues across disciplines to ensure data moves efficiently and is accurate, well‑structured, and ready for analysis. Your work will support informed decision‑making and enable meaningful insights for both internal teams and customers.
Responsibilities
Design and implement robust data orchestration and transformation solutions.
Ensure reliable delivery of high-quality data for analysis, reporting, and sharing.
Collaborate with cross-functional teams to define, maintain, and promote coding and technical standards.
Partner with DevOps to automate deployments and apply Infrastructure as Code (Iaff) for consistent environments.
Build reusable frameworks, modular components, and common deployment patterns using Airflow.
Document best practices and support knowledge sharing across teams.
Improve platform reliability and scalability through enhanced logging, monitoring, and observability.
Identify and address gaps in the data platform, support DataOps initiatives, and incorporate user feedback.
Requirements
Demonstrated experience working with modern data technologies such as Airflow, Snowflake, and DBT, or comparable tools.
Experience
📌 Senior Data Engineer II (México)
🏢 RELX
📍 México