Lead Data Engineer - Risk Tech (Python, AWS)
About the role
Join us as a Lead Data Engineer at Capital One, where you'll be part of a dynamic team dedicated to transforming risk management into a real-time, intelligent discipline. Our mission spans two primary pillars: Risk Management Tech (RMT) and AML and Compliance Tech (ACT), both driven by modern products and technical capabilities.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
- Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Requirements
- Bachelor’s Degree
- At least 4 years of experience in application development
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
- 7+ years of experience in application development including Python, SQL, Golang, Java or Scala
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years experience with Distributed data/computing tools (MapReduce, Flink, EMR, Kafka, Spark, or MySQL)
- 4+ year experience working on real-time data and streaming applications
- 4+ years of experience with SQL implementation (PostgreSQL) and NoSQL implementation (DynamoDB)
- 4+ years of data warehousing experience (Snowflake or Redshift)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
Benefits
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 Capital One Careers website.
Pay
The minimum and maximum full-time annual salaries for this role are listed below, by location:
- Cambridge, MA: $197,300 - $225,100 for Lead Data Engineer
- McLean, VA: $197,300 - $225,100 for Lead Data Engineer
- Richmond, VA: $179,400 - $204,700 for Lead Data Engineer
Schedule
This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity Employer
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.