Senior Data Engineer (Seattle)

D8 LooP; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Airwallex is hiring a data engineer to build and maintain data pipelines and platforms. You will ensure data quality and governance across diverse sources and support BI and ML initiatives. The role emphasizes SQL proficiency, data warehousing, Airflow, and Python, with exposure to GCP BigQuery.

Collaboration with the data strategy team is required to enable real-time analytics. Seattle-area applicants are preferred for on-site collaboration with cross-functional teams in a fast-paced fintech

Qualifications

• Strong experience with data modeling, data schemas, ETL, and end-to-end data workflows.
• Maintain data consistency, traceability, and quality across multiple data sources and domains, including distributed or multi-datacenter environments.

Skills

SQL

Data warehousing

Airflow

Machine learning

ETL pipelines

Data governance

Python

GCP

Job description

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own. We started in Melbourne in 2015 to build the infrastructure global commerce runs on.

Skills, with evidence

Strong experience with data modeling, data schemas, ETL, and end-to-end data workflows. must have

Maintain data consistency, traceability, and quality across multiple data sources and domains, including distributed or multi-datacenter environments where relevant. must have

• SQL Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions. must have
• Warehousing Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions. must have
• Airflow / orchestration Familiarity with Google Cloud Platform, particularly BigQuery and Airflow. must have
• Machine learning Our Strategic Data team builds the data foundations that support business intelligence, machine learning, and operational decision-making. must have not practised here
• Streaming Build and maintain batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery. must have
• Governance & security - Contribute to data governance strategies, policies, and standards across areas such as data quality, stewardship, metadata, master data, privacy, security, and lifecycle management. not practised here
• Python - Experience with scripting languages such as Python or R for data analysis and automation.
• GCP - Familiarity with Google Cloud Platform, particularly BigQuery and Airflow. not practised here