Data Engineer (Data Platform)
Core
Building and maintaining ingestion/ELT pipelines, metadata repositories, and internal tools to ensure data accuracy for financial reports, fraud signals, and AI-driven analysis in a crypto/fintech environment.
Role type
Mid-level Data Engineer (Data Platform)
Builds
Production data pipelines, metadata layers, and internal data tools for analysts and AI systems
Domain
Fintech / Cryptocurrency / Data Engineering
Deliverable
production ML models | product features
Required skills
SQL, Python, Airflow (or similar), cloud services (AWS), end-to-end pipeline ownership, data quality verification, backend service development
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, LLM/RAG
Responsibilities
Write and operate ingestion and ELT pipelines; add quality checks to prevent bad data; maintain metadata repository; develop backend APIs and data layers for internal tools; integrate AI/LLM capabilities; handle stakeholder data requests
Seniority
Mid-level, hands-on IC