Sr. Analytics Engineer

Workday

Costa Rica, Costa Rica
Hybrid (at least 50% time in-office each quarter)
Sql proficiency
Python for data manipulation
Cloud data warehouses (e.g., snowflake)
Workday is seeking a Senior Analytics Engineer to enhance data availability and governance within their new Enterprise Data and Analytics team. The role involves collaborating with various stakeholders to automate and standardize data processes, ensuring reliable and secure data for analytics and operational use

Job Summary

  • We are seeking a highly skilled and experienced Senior Analytics Engineer to lead and evolve the end-to-end process of making data reliably available for analytics and operational use cases.
  • You will standardize how new data sources are onboarded, transformed, validated, and made discoverable, collaborating closely with various teams to ensure robust data products.
  • This role is ideal for a hands-on engineer who thrives at the intersection of analytics engineering and governance, and who is passionate about automation, standardization, and building self-service capabilities at scale.

Matching Summary

Match Score: 85

Workday is seeking a Senior Analytics Engineer to enhance data availability and governance within their new Enterprise Data and Analytics team. The role involves collaborating with various stakeholders to automate and standardize data processes, ensuring reliable and secure data for analytics and operational use.

Skills & Requirements

Must-have

  • SQL proficiency
  • Python for data manipulation
  • Cloud data warehouses (e.g., Snowflake)
  • Data ingestion tools and patterns
  • DataOps/DevOps principles for data
  • Modern data stack components (dbt, Airflow, GitHub)

Nice-to-have

  • Data governance concepts
  • Data quality and observability solutions
  • Data security best practices
  • Agile methodologies
  • Workflow and project management tools

Key Requirements

  • 6-8+ years of experience in data engineering
  • Hands-on experience with modern cloud data warehouses
  • Proficiency in Python for data manipulation
  • Practical understanding of DataOps/DevOps principles
  • Experience integrating modern data stack components

Work Rights

Not specified

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