Senior Data Engineer: ETL, Modeling & BigQuery

Airwallex; Seattle, Northern (WA, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Open office space with kitchen

Regular team-building events

Fully stocked kitchen

Job summary

Airwallex is seeking a Senior Data Engineer to design and implement scalable data models and ETL pipelines that power BI, ML, and operations. You will partner with business teams to translate data needs into reliable, well-documented models and maintain data quality across sources.

The role is based in Seattle with an on-site work pattern requiring three days in the office. You will collaborate with Data Platform Engineers and Product Managers to drive governance, scalability, and innovation

Qualifications

• 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 tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms.
• Strong experience with data modeling, data schemas, ETL, and end-to-end data workflows.
• Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions.
• Familiarity with Google Cloud Platform, particularly BigQuery and Airflow.
• Excellent problem-solving skills, attention to detail, and commitment to producing high-quality work.
• Strong communication and collaboration skills, including the ability to work effectively with globally distributed teams.
• Strength in at least one core area of data engineering, particularly data modeling or ETL, with the ability to contribute across the broader data engineering discipline.

Responsibilities

• Design and implement robust, scalable data models that support business intelligence, machine learning, and operational needs.
• Select appropriate schema designs—including star schema, snowflake, normalized, and denormalized models—based on the use case.
• Partner with business teams to translate data needs into clean, structured, and well-documented models, while promoting a single source of truth across data layers and pipelines.
• Build and maintain batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery.
• Maintain data consistency, traceability, and quality across multiple data sources and domains, including distributed or multi-datacenter environments where relevant.
• Contribute to data governance strategies, policies, and standards across areas such as data quality, stewardship, metadata, master data, privacy, security, and lifecycle management.
• Work with Data Platform Engineers and Product Managers to identify root causes of data issues and deliver efficient, scalable solutions.
• Explore practical ways for data engineering and AI to work together across our products and operations.

Skills

SQL

Data Modeling

ETL

BigQuery

Airflow

Communication

Team Collaboration

Problem Solving

Education

Bachelor's degree or higher in Computer Science or related field

Tools

Informatica

Talend

Apache NiFi

MySQL

PostgreSQL

Oracle

Job description

Airwallex is seeking a Senior Data Engineer to design and implement scalable data models and ETL pipelines that power BI, ML, and operations. You will partner with business teams to translate data needs into reliable, well-documented models and maintain data quality across sources.

The role is based in Seattle with an on-site work pattern requiring three days in the office. You will collaborate with Data Platform Engineers and Product Managers to drive governance, scalability, and innovation