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Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Fintech): Building reliable data models and batch and streaming ETL pipelines for business intelligence, machine learning, and operational decision-making with an accent on data modeling, schema design, data quality, and governance. Focus on designing scalable end-to-end data workflows, solving distributed data consistency challenges, and connecting data engineering with AI across financial products and operations.
Location: Seattle, United States; hybrid work with three days per week in the office
Salary: $140,000–$240,000 annual base pay, plus potential equity and bonus.
Company
Airwallex provides AI-native financial infrastructure and payment products for global commerce.
What you will do
- Design scalable data models for business intelligence, machine learning, and operational decision-making.
- Select and implement appropriate schema designs, including star, snowflake, normalized, and denormalized models.
- Build and maintain batch and streaming ETL pipelines from ingestion and transformation through delivery.
- Partner with business teams, Data Platform Engineers, and Product Managers to create documented models and resolve data issues.
- Improve data consistency, traceability, quality, governance, metadata, privacy, security, and lifecycle management.
- Explore practical applications of data engineering and AI 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 with Informatica, Talend, Apache NiFi, or similar platforms.
- Strong experience with data modeling, schemas, ETL, and end-to-end data workflows.
- Proficiency in SQL, MySQL, PostgreSQL, Oracle, and data warehousing solutions.
- Familiarity with Google Cloud Platform, especially BigQuery and Airflow.
- Strong problem-solving, communication, collaboration, and data engineering skills, with particular strength in data modeling or ETL.
Nice to have
- Experience in financial services, payments, or fintech.
- Knowledge of data governance and financial-industry regulatory requirements.
- Experience with Python or R for data analysis and automation.
- Experience with distributed or multi-datacenter systems, data migration, duplication, and consistency challenges.
- Certification in data management or related technologies.
Culture & Benefits
- Ownership of the roadmap and outcomes in an environment with ambiguity and autonomy.
- Collaborative work with globally distributed teams.
- Open office environment, stocked kitchen, and regular team-building events.
- US-based employees may receive medical, dental, and vision insurance, 401(k), disability and life insurance, well-being benefits, 20 vacation days, and 12 company holidays.
- Competitive compensation with potential equity and bonus opportunities.
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