Senior Data Engineer - Customer Success
Core
Support global financial firms by diagnosing, resolving, and escalating technical issues across data pipelines to ensure reliability and performance of large-scale automated data flows.
Role type
Senior IC data engineer (customer success & operations)
Builds
Large-scale, automated data flows for global financial institutions
Domain
Capital markets / Financial services
Deliverable
production ML models | infrastructure
Required skills
Python (object-oriented), job scheduling (Jenkins, Rundeck, Apache Airflow), batch data processing, ETL pipelines, Data Lake architectures, Git, Linux (server operations, daemons, task scheduling), data movement operations
Preferred skills
Cloud data platforms (AWS Redshift, Athena, Dremio, Snowflake), Kubernetes, AWS EC2/ECS/EKS
Responsibilities
Provide technical support for data ingestion, transformation, and delivery pipelines; Troubleshoot and resolve issues related to batch processing, automation, and data job failures; Collaborate with engineering teams to improve pipeline stability and performance; Manage and monitor processing workflows and job schedules; Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations
Seniority
Senior, hands-on IC
