Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- 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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