Data Engineer 4 (Risk Tech)
Core
Design, build, and deploy scalable cloud data pipelines and platforms to support risk management solutions powered by AI and machine learning.
Role type
Senior Data Engineer (Risk Technology)
Builds
Proprietary risk management tools, data pipelines, and cloud data solutions for financial risk detection and prevention.
Domain
Financial Services / Risk Management / Data Engineering
Deliverable
production ML models | data pipelines | infrastructure
Required skills
Python, SQL, distributed data systems, data pipeline design, relational and non-relational databases, cloud data warehousing, data modeling, data security standards
Preferred skills
Public cloud environments (AWS/Azure/GCP), distributed compute (Spark/Databricks), real-time streaming pipelines, data observability, NoSQL databases, data warehousing, vector embeddings, LLM integrations, Generative AI workflows
Technologies
Python, Spark, Databricks, Snowflake, AWS, Azure, Google Cloud, Airflow, LangChain, Pinecone, Milvus
Responsibilities
Design and build scalable data pipelines and platforms; architect data engineering design patterns; collaborate with Agile teams and data scientists; implement data security and compliance standards; mentor team members; communicate technical concepts to stakeholders.
Seniority
Senior, hands-on IC
