Capital One is looking to solve the business problem of providing a 360-degree view of every business in the US, powered by state-of-the-art entity resolution capabilities. This involves ingesting data from multiple third-party sources, using machine learning models to identify unique businesses, and elevating the best information from these sources to power marketing funnels and perform verifications for business customers.
Requirements
- 3+ years of experience in PySpark
- 5+ years of experience in Data Engineering
- 2+ years of experience in Machine Learning
- At least 7 years’ experience in software development
- 5+ years’ experience in Agile practices
- Experience in emerging and traditional technologies such as PySpark, Airflow, and AWS/Cloud Infrastructure
Responsibilities
- Lead, manage and grow multiple teams of product focused software engineers
- Mentor and guide the professional and technical development of engineers on your team.
- Work with product managers to understand desired application capabilities and testing scenarios
- Continuously improve software engineering practices
- Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies
- Lead the craftsmanship, availability, resilience, and scalability of your solutions
- Break existing monolithic applications into micro service architectures and build new microservices
Other
- Bachelor's Degree
- At least 5 years’ experience in people management
- Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
- 10+ years’ of experience in software development
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
