Airwallex
Senior Data Engineer (San Francisco)
$160K–$260K
US - San Francisco · Hybrid · Senior · Full-time · Posted Oct 8, 2026
- Experience
- Five or more years designing and implementing ETL pipelines.
- Education
- Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
About the job
Build and maintain scalable data models and pipelines that support business intelligence, machine learning, and operational decision-making.
What you'll do
- Design data models and schema choices for business needs, promoting documented, consistent sources of truth.
- Build and maintain batch and streaming ETL workflows from ingestion through delivery.
- Improve data quality, governance, and data issue resolution with business, platform, and product teams.
What they ask for
- Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
- Five or more years designing and implementing ETL pipelines using data integration platforms.
- Strong experience with data modeling, schemas, ETL, and end-to-end data workflows.
- Proficiency in SQL, database management systems, data warehousing, and familiarity with Google Cloud Platform, particularly BigQuery and Airflow.
Nice to have
- Experience in financial services, payments, or fintech.
- Python or R scripting experience; data governance, distributed systems, or relevant certification experience is also preferred.
Pay
$160K – $260K USD base salary
Tools
Informatica, Talend, Apache NiFi, SQL, MySQL, PostgreSQL, Oracle, Google Cloud Platform
AI focus
Build data foundations supporting machine learning and explore practical ways for data engineering and AI to work together across products and operations.
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