1 month ago
Base Salary
$140k - $240k/yr
Responsibilities
- Design and implement scalable data models supporting business intelligence, machine learning, and operational needs.
- Select appropriate star, snowflake, normalized, or denormalized schema designs based on use cases.
- Partner with business teams to translate data needs into clean, documented models and promote a single source of truth.
- Build and maintain batch and streaming ETL pipelines across ingestion, transformation, and delivery.
- Maintain data consistency, traceability, and quality across multiple data sources and domains.
- Contribute to data governance policies and standards covering quality, stewardship, metadata, master data, privacy, security, and lifecycle management.
- Work with Data Platform Engineers and Product Managers to identify data issues and deliver scalable solutions.
- Explore ways for data engineering and AI to work together across products and operations.
Requirements
- 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 Informatica, Talend, Apache NiFi, or similar 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.
- Strong problem-solving, attention to detail, communication, and collaboration skills.
- Strength in data modeling or ETL with the ability to contribute across the broader data engineering discipline.
- Preferred experience in financial services, payments, or fintech.
- Preferred knowledge of data governance practices and financial-industry regulatory requirements.
- Preferred experience with Python or R for data analysis and automation.
- Preferred experience with distributed or multi-datacenter data systems, including data migration, duplication, and consistency challenges.
- Certification in data management or related technologies is preferred.
Benefits
- Seattle role with an expectation of working from the office three days per week.
- Collaborative open office space with a fully stocked kitchen.
- Regular team-building events.
- Freedom to be creative.
Tech Stack
Categories
Data Engineering
About Airwallex
Airwallex builds a global payments and financial operations platform for businesses, offering payment acceptance, multi-currency accounts, FX and transfers, card issuing, treasury and spend management via APIs and web apps. It monetizes through transaction and foreign-exchange fees and related account services. Founded in Melbourne in 2015 and privately held, the company serves customers worldwide, with notable users including Brex, Canva and Qantas.