Capital One
Lead Data Engineer - Risk Tech (Python, AWS)
McLean, Virginia · Part-time
No sponsorship$197k-$225kDetected 22 hours ago
PythonJavaGoScalaBashFull-Stack DevelopmentSQLNoSQLPostgreSQLMySQLDynamoDBSnowflakeRedshiftAWSGCPAzureLinuxKafkaMachine LearningSparkCustomer SupportEHR/EMRMentoring
About the role
- Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
- Risk Tech is responsible for transforming risk management into a real time, intelligent discipline powered by modern products and technical capabilities.
- Reinforcing these pillars are our commitment to Architecture & Engineering Excellence.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- 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
- $179,400 - $204,700 for Lead Data Engineer
- For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Requirements
- Bachelor's Degree
- At least 4 years of experience in application development (Internship experience does not apply)
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Nice to have
- 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
Compensation
- $197k-$225k
Benefits
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Company info
- Risk Management Tech (RMT), which develops the frameworks and tools for monitoring risks, testing controls, and managing regulatory requirements; and AML and Compliance Tech (ACT), which ensures our products are delivered ethically and in strict compliance with BSA/AML regulations and global laws.
- Our Architecture team bridges the gap between business strategy and technical execution through a customer centric, domain oriented lens, while our Engineering Excellence team empowers our talent to build better, more resilient systems every day.
- Together, we ensure that Risk Tech isn't just a safeguard - it's a competitive advantage.
Equal opportunity
- equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Visa & Work Authorization
- At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i
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This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.