Senior Distinguished Data Engineer at Capital One driving technical strategy for data pipelines across lines of business. Requires deep expertise in AWS, Python, and big data technologies.
Responsibilities
Drive the technical strategy for data pipelines
Collaborate on Capital One’s toughest issues to deliver on business needs
Build awareness, increase knowledge and drive adoption of modern technologies
Promote a culture of engineering excellence
Effectively communicate with and influence key stakeholders across the enterprise
Operate as a trusted advisor for a specific technology or platform
Lead the way in creating next-generation talent for Tech
Requirements
Bachelor’s Degree
At least 9 years of experience in data engineering
At least 5 years of experience in data architecture
At least 3 years of experience in building applications in AWS
At least 3 years of experience with Python, Scala, Java, or SQL
At least 3 years of experience with Flink or Spark
At least 3 years of experience with Kafka
At least 3 years of experience with Delta Lake or Iceberg
At least 3 years of experience building highly performant, highly resilient Big Data solutions
Masters’ Degree (Preferred)
10+ years of experience in data engineering (Preferred)
3+ years of data modeling experience (Preferred)
2+ years of experience with ontology standards for defining a domain (Preferred)
3+ years of experience deploying machine learning models (Preferred)
1+ year of experience deploying Agentic AI solutions (Preferred)
3+ years of experience implementing big data processing solutions on AWS or other cloud providers (Preferred)
3+ years of experience with Snowflake or Databricks (Preferred)
3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting) (Preferred)
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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