Data Engineer 5, Insights Platform
Core
Design, build, and deliver scalable cloud data pipelines, platforms, and APIs to support machine learning and distributed microservices for financial empowerment.
Role type
Senior IC data engineer (cloud data platforms & pipelines)
Builds
Cloud data, API, and MCP solutions; scalable data pipelines and platforms
Domain
Financial services + cloud data engineering
Deliverable
production ML models
Required skills
Python, SQL, Spark, distributed data systems, data modeling, relational and NoSQL databases, cloud data warehousing, full-stack development
Preferred skills
Data observability, data orchestration, real-time/streaming pipelines, unstructured data handling, data warehousing solutions, Agile development, reusable data products
Technologies
Databricks, Snowflake, AWS, Azure, Google Cloud, EMR, Glue, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Redshift
Responsibilities
Design and build data pipelines focusing on scalability and resilience; architect common data engineering design patterns; lead large-scale transformative data initiatives; mentor peers and junior engineers; collaborate with product managers and software engineers to deliver cloud-first solutions
Seniority
Senior, hands-on IC
