Senior Distinguished Data Engineer

Capital One Capital One · Banking · McLean, VA +1

Senior Distinguished Data Engineer to drive technical strategy for data pipelines leveraged by all lines of business, focusing on innovation, best practices, platform scalability, and operational excellence. Requires deep expertise in AWS, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks, with hands-on coding in Python, SQL, Java, and/or Scala.

What you'd actually do

  1. Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
  2. Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
  3. Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  4. Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
  5. Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner

Skills

Required

  • Bachelor's Degree
  • 9 years of experience in data engineering
  • 5 years of experience in data architecture
  • 3 years of experience in building applications in AWS
  • 3 years of experience with Python, Scala, Java, or SQL
  • 3 years of experience with Flink or Spark
  • 3 years of experience with Kafka
  • 3 years of experience with Delta Lake or Iceberg
  • 3 years of experience building performant, resilient Big Data solutions

Nice to have

  • Masters' Degree
  • 10+ years of experience in data engineering
  • 3+ years of data modeling experience
  • 2+ years of experience with ontology standards for defining a domain
  • 3+ years of experience deploying machine learning models
  • 1+ year of experience deploying Agentic AI solutions
  • 3+ years of experience implementing big data processing solutions on AWS or other cloud providers
  • 3+ years of experience with Snowflake or Databricks
  • 3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting)

What the JD emphasized

  • deploying machine learning models
  • deploying Agentic AI solutions
  • Data Observability tooling