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Distinguished Data Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Capital One
Full Time, Part Time position
Listed on 2025-12-06
Job specializations:
  • Engineering
    Data Engineer
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below
* Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
* Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
* Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
* Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
* 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 inner source 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
* Bachelor’s Degree
* At least 7 years of experience in data engineering
* At least 3 years of experience in data architecture
* At least 2 years of experience building applications in AWS
* Masters’ Degree
* 9+ years of experience in data engineering
* 3+ years of data modeling experience
* 2+ years of experience with ontology standards for defining a domain
* 2+ years of experience using Python, SQL or Scala
* 1+ year of experience deploying machine learning models
* 3+ years of experience implementing big data processing solutions on AWS (S3, Dynamo

DB, Lambda, Glue, Flink)
* 2+ years of experience with Orchestration Technologies (Airflow, Step functions)
* 2+ years of experience with Caching and In-memory Data stores

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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