Data Engineer 5
Core
Design, build, and deliver scalable cloud data solutions and pipelines to support machine learning, distributed microservices, and full-stack systems for financial empowerment.
Role type
Senior IC data engineer (cloud architecture & pipelines)
Builds
Cloud data platforms, data pipelines, and data warehousing solutions
Domain
Financial services, cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, distributed data systems, data pipeline design, relational and NoSQL databases, cloud data warehousing, data modeling, full-stack development
Preferred skills
Scala, Java, real-time/streaming data pipelines, data observability, data orchestration, unstructured data handling, data product development
Technologies
Spark, Databricks, Snowflake, AWS, Azure, Google Cloud, Airflow, Dagster, Monte Carlo, Splunk, MongoDB, Cassandra, DynamoDB, Redshift, EMR, Glue
Responsibilities
Design and architect cloud data solutions and pipelines; mentor peers and junior engineers; evaluate platform choices (e.g., Snowflake vs. Databricks); enforce data engineering design patterns; collaborate with product managers and software engineers; lead large-scale transformative data initiatives
Seniority
Senior, hands-on IC
