Data Engineer 4
Core
Design, build, and deliver scalable cloud data solutions and pipelines to support distributed data workloads and machine learning initiatives for millions of customers.
Role type
Senior IC Data Engineer (Cloud & Distributed Systems)
Builds
Cloud-first data platforms, pipelines, and applications
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
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, Agile development, reusable data products
Technologies
Databricks, Snowflake, AWS, Azure, GCP, EMR, Glue, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Redshift
Responsibilities
Design and implement data pipelines with focus on scalability and resilience; Architect common data engineering design patterns; Collaborate with data scientists and product managers to deliver cloud solutions; Mentor team members and share technical knowledge; Enforce data security standards and compliance; Independently design and deliver world-class data solutions.
Seniority
Senior, hands-on IC
