Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный senior-уровень и современный стек в развивающемся финтех-направлении, но без указанной зарплаты сложно сравнить условия с медианой рынка в $182 496 в год.
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Зарплата не указанаСовременный стекПонятные задачиФинтех-направлениеМного самостоятельности
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Analytics Engineer (Fintech): Building the transformation and modeling layer for a new cloud data warehouse with an accent on dbt, dimensional models, data quality, and stakeholder-defined metrics. Focus on designing scalable analytics foundations, resolving ambiguous business requirements, and supporting finance, compliance, and product decision-making.
Location: Remote within the United States
Company
Builds embedded financial infrastructure for games, supporting payments, money movement, compliance, player rewards, marketplaces, creator economies, and esports.
What you will do
Own the transformation layer while implementing dbt on a new cloud data warehouse.
Design dimensional models, tests, documentation, and reusable data patterns.
Translate ambiguous business questions into durable models and clear data definitions.
Partner with finance, compliance, and product stakeholders to define requirements and correctness criteria.
Monitor data products, resolve issues, and escalate risks before they affect stakeholders.
Work across ingestion, orchestration, warehouse configuration, analysis, and decision support when needed.
Requirements
7+ years of experience across analytics engineering, data engineering, or analytics with substantial modeling ownership.
Strong analytical SQL skills, including complex joins, window functions, and performance-aware queries.
Fluency in data and dimensional modeling, with the ability to design schemas from unclear requirements.
Experience with dbt or an equivalent transformation framework such as Dataform or SQLMesh.
Experience with cloud data warehouses such as Redshift, Snowflake, BigQuery, or Databricks.
Familiarity with orchestration, BI, version control, CI/CD, testing, documentation, and stakeholder requirements gathering.
Nice to have
Platform-level experience with Terraform, infrastructure as code, DMS/CDC, data lakes, or data observability.
Experience working with financial, payments, or regulated data.
Culture & Benefits
Fully remote work with team members across the US, Canada, the UK, and Europe.
High degree of ownership and independence.
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