remote
Data Engineer, Global Affairs - Google
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and models, leveraging Python, SQL, and ETL processes while collaborating with cross‑functional teams to support global analytics initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load large‑scale datasets.
- Write and optimize complex SQL queries for data exploration, validation, and reporting.
- Collaborate with analysts and product teams to define data models that support business intelligence and machine‑learning use cases.
- Implement data quality checks, monitoring, and alerting to ensure pipeline reliability.
- Contribute code in Python, Java, or Go to extend data processing frameworks and automate workflows.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
- Minimum 3 years of hands‑on experience building data pipelines and working with relational databases.
- Proficiency in Python and SQL, with solid understanding of ETL concepts.
- Experience programming in Java, Go, or similar languages for data‑engineer tooling.
- Strong problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.