Назад
1 день назад

Senior Data Engineer (Fintech)

140 000 - 240 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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