Capital One Distinguished Data Engineer - Financial Tech United States, Texas, Plano 693699599
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You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
Key responsibilities:
Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Have a software engineering/problem solving mindset being equally comfortable with deep diving on real time and batch data pipelines, with an understanding of how to build highly resilient operational platforms that can scale to 50k+ TPS with 4 9’s availability.
In-depth knowledge of handling large data pipelines to clean, transform , and observe data.
General understanding of Machine Learning principles and generative AI
Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, high performance computing patterns
Basic Qualifications:
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 working with Cloud technologies (AWS, Azure, GCP)
Preferred Qualifications:
Masters’ Degree
10+ years of data governance, data access, data lineage, data monitoring, and security controls experience
9+ years of experience in data engineering
7 +years of experience in Data Warehousing and Database Management
5+ years of Data Architecture and Data Modeling experience
5+ years of experience using Python, Java, SQL or Scala
3+ years of experience working with Big Data, AI/ML
3+ years of experience developing in Flink or Spark
3+ years of experience bringing real-time decision use cases to production
3+ years of experience implementing big data processing solutions on AWS
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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