Data Engineer 4
Core
Design, build, and deliver scalable cloud data solutions and pipelines to support distributed data workloads and drive financial empowerment experiences for millions of customers.
Role type
Senior hands-on Data Engineer
Builds
Cloud data platforms, data pipelines, and full-stack data applications
Domain
Financial services, cloud data engineering, distributed systems
Required skills
Python, SQL, Spark, distributed data systems, data pipeline design, data modeling, relational and NoSQL databases, cloud data warehousing
Preferred skills
Real-time/streaming data pipelines, data observability, data orchestration, 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 develop full-stack technical solutions; architect data engineering design patterns for code quality and reusability; build scalable and resilient data pipelines; implement data security standards and access controls; mentor team members and communicate technical concepts to stakeholders.
Seniority
Senior, hands-on IC
