Workday is seeking a Senior Analytics Engineer to join their newly formed Enterprise Data and Analytics team in Costa Rica. The role focuses on ensuring data availability for analytics and operational use, emphasizing collaboration and automation within a supportive company culture
Job Summary
Lead and evolve the end-to-end process of making data reliably available for analytics and operational use cases, focusing on data availability from ingestion to the raw zone of our data warehouse.
Standardize new data source onboarding, transformation, validation, and discoverability, collaborating with cross-functional teams to ensure robust, well-governed, and continuously monitored data products.
This role is ideal for a hands-on engineer passionate about automation, standardization, and building self-service capabilities at scale at the intersection of analytics engineering and governance.
Matching Summary
Match Score: 85
Workday is seeking a Senior Analytics Engineer to join their newly formed Enterprise Data and Analytics team in Costa Rica. The role focuses on ensuring data availability for analytics and operational use, emphasizing collaboration and automation within a supportive company culture.
Skills & Requirements
Must-have
SQL proficiency
Python for data manipulation
Modern cloud data warehouses (e.g., Snowflake)
Data ingestion tools and patterns
DataOps/DevOps principles for data
Modern data stack components integration (dbt, Airflow, GitHub)
Nice-to-have
Data governance concepts
Data catalog/lineage tools
Data quality and observability solutions
Agile methodologies
Workflow and project management tools
Key Requirements
6-8+ years of experience in data engineering
Hands-on experience with production data platforms
High-level understanding of data modeling and ETL/ELT