Data Engineer 5
Core
Design, build, and deploy scalable cloud data solutions and platforms to support risk management initiatives using AI and machine learning.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Cloud-first data pipelines, data warehousing solutions, and data platforms for risk management
Domain
Financial Services / Risk Management / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, distributed data systems, data pipeline design, cloud data warehousing, data modeling, full-stack development
Preferred skills
Scala, Java, real-time/streaming data pipelines, data observability, data orchestration, NoSQL databases, unstructured data handling
Technologies
Spark, Databricks, Snowflake, AWS, Azure, Google Cloud, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, EMR, Glue
Responsibilities
Design and build scalable data pipelines and platforms; architect data engineering design patterns; lead large-scale data initiatives; mentor junior engineers; collaborate with data scientists and product managers; evaluate platform choices independently
Seniority
Senior, hands-on IC with leadership responsibilities
