Data Engineer (Data Platform)
Core
Build and maintain data ingestion, ELT pipelines, and metadata systems to ensure accurate financial data for dashboards, fraud signals, and AI-driven analysis.
Role type
Mid-level hands-on Data Engineer (Data Platform)
Builds
Ingestion and ELT pipelines, metadata repositories, internal data tools, and backend services for a crypto/fintech platform.
Domain
Fintech / Cryptocurrency / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Airflow (or similar), cloud services (AWS), data pipeline ownership, data quality verification, backend service deployment
Preferred skills
Financial services/cryptocurrency domain experience, data quality tooling (Great Expectations, Soda, dbt), streaming data handling, internal tool/API development
Technologies
Airflow, MWAA, AWS, SQL, Python
Responsibilities
Write and operate ingestion and ELT pipelines for transactions and product events; add quality checks to prevent bad data in reports; maintain metadata repositories and document datasets; work on backend APIs and data layers for internal tools; integrate AI/LLM capabilities into the platform.
Seniority
Mid-level, hands-on IC
