Airwallex
Senior Data Engineer (Seattle)
$140K–$240K
US - Seattle · 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
Builds scalable data models and batch and streaming ETL pipelines to support business intelligence, machine learning, and operational decision-making.
What you'll do
- Design data models and schemas suited to business use cases, promoting well-documented data and a single source of truth.
- Build and maintain end-to-end ETL pipelines, ensuring data quality, consistency, and traceability.
- Contribute to data governance and collaborate across teams to resolve data issues and explore ways to combine data engineering with AI.
What they ask for
- Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
- Five or more years of experience 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 solutions, and familiarity with Google Cloud Platform, particularly BigQuery and Airflow.
Nice to have
- Experience in financial services, payments, or fintech.
- Knowledge of data governance practices and financial-industry regulatory requirements.
Pay
$140K – $240K USD base salary
Tools
Informatica, Talend, Apache NiFi, SQL, MySQL, PostgreSQL, Oracle, Google Cloud Platform
AI focus
Explore practical ways for data engineering and AI to work together across products and operations; data models also support machine learning.
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