Senior Distinguished Data Engineer developing innovative data pipelines for Capital One. Driving technical strategy and mentoring talent in a data-driven environment.
Responsibilities
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
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
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
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 performant, resilient Big Data solutions
Benefits
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
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