7 months ago
Base Salary
$160k - $260k/yr
Responsibilities
- Design and implement scalable data models for business intelligence, machine learning, and operational needs.
- Select and document appropriate schema designs, including star, snowflake, normalized, and denormalized models.
- Translate business data needs into clean, structured, and well-documented models.
- Promote single sources of truth and maintain data consistency, traceability, and quality across data sources and domains.
- Build and maintain batch and streaming ETL pipelines from ingestion through transformation and delivery.
- Partner with Data Platform Engineers and Product Managers to identify root causes of data issues and develop scalable solutions.
- Address data migration, duplication, and consistency challenges across distributed or multi-datacenter systems.
- Contribute to data governance strategies, policies, standards, and practices.
- Explore practical applications of data engineering with AI.
Requirements
- Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field.
- At least five years of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar platforms.
- Proficiency in SQL, database management systems, and data warehousing solutions.
- Familiarity with Google Cloud Platform, BigQuery, and Airflow.
- Experience with data modeling, schemas, data quality, and data pipeline workflows.
- Strong problem-solving, attention to detail, communication, and collaboration skills.
- Ability to work effectively with globally distributed teams in a fast-paced environment.
- Preferred experience includes financial industries, payment systems, or fintech platforms.
- Preferred knowledge includes data governance practices and financial-industry regulatory requirements.
- Preferred experience includes Python or R for data analysis and automation.
- Data management or related technology certification is preferred.
Benefits
- Competitive salary and valuable Airwallex equity.
- Collaborative open office space with a fully stocked kitchen.
- Regular team-building events and freedom to be creative.
- Hiring location is San Francisco.
- The company operates globally across 26 offices.
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.