Senior Data Engineer (San Francisco)

D8 LooP; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Airwallex is seeking a data-focused engineer to design and maintain data pipelines and warehousing solutions. You will work with SQL databases, BigQuery, Airflow, and Python to support real-time and batch data workflows.

The role emphasizes data quality, governance, and scalable data architecture across multiple sources and domains in a fast-paced environment.

Qualifications

• Data modeling, schemas, ETL, and end-to-end data workflows experience.
• Maintain data consistency, traceability, and quality across data sources and domains.
• Proficiency in SQL and major DBMS (MySQL, PostgreSQL, Oracle) and data warehousing.
• Airflow for orchestration and GCP tools like BigQuery.
• Build batch and streaming ETL pipelines across the data workflow.

Skills

Data modeling

Data schemas

ETL

End-to-end data workflows

SQL

Airflow

BigQuery

MySQL

PostgreSQL

Oracle

Python

Data warehousing

Streaming ETL

Tools

Airflow

BigQuery

MySQL

PostgreSQL

Oracle

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
• Airflow / orchestration Familiarity with Google Cloud Platform, particularly BigQuery and Airflow. must have
• Warehousing Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions. must have
• Streaming Build and maintain batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery. 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
• 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