Capital One
Senior Lead Data Engineer (Python, AWS, Spark, Kakfa, SQL, Snowflake, DynamoDB, Databricks, GenAI)
McLean, VA · Senior · Part-time
Sponsorship not specified$230k-$262kDetected 23 days ago
PythonBashFull-Stack DevelopmentGitSQLNoSQLMySQLMongoDBCassandraDynamoDBSnowflakeRedshiftDatabricksAWSGCPAzureLinuxKafkaSparkData EngineeringCustomer SupportEHR/EMRMentoring
About the role
- Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
- Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
- Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
- Optimize information system for end-user and downstream application consumers by using sound data design practices
- 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
- 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 6 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
- 9+ years of experience in application development including Python, SQL, Spark, ETL tools, AWS Glue
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
- 4+ year experience working on real-time data and streaming applications
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 4+ years of data warehousing experience (Redshift or Snowflake)
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting
- 4+ years experience with data modeling for data warehousing
Compensation
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
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.
Company info
- The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value.
- The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
Equal opportunity
- equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
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