This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
Senior Data Engineer (Python, Spark, AWS)
$153,900 - $175,700/Yr
Capital One - Richmond, VA
posted about 2 months ago
Full-time - Senior
Richmond, VA
Credit Intermediation and Related Activities
About the position
As a Senior Data Engineer at Capital One, you will play a crucial role in building and innovating solutions for the company's credit card processing platform. This position involves collaborating with Agile teams to design, develop, and implement technical solutions using a modern tech stack in a cloud environment. You will be part of a passionate team focused on leveraging data and emerging technologies to drive transformation within the organization.
Responsibilities
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
- Work with developers experienced in machine learning, distributed microservices, and full stack systems.
- Utilize programming languages such as Java, Scala, Python, and work with Open Source RDBMS and NoSQL databases.
- Engage with cloud-based data warehousing services like Redshift and Snowflake.
- Stay updated on tech trends, experiment with new technologies, and mentor other engineering community members.
- Collaborate with digital product managers to deliver robust cloud-based solutions.
- Perform unit tests and conduct code reviews to ensure high-quality code.
Requirements
- Bachelor's Degree
- At least 3 years of experience in application development (Internship experience does not apply)
- At least 1 year of experience in big data technologies
Nice-to-haves
- 5+ years of experience in application development including Python, SQL, Scala, or Java
- 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 2+ year experience working on real-time data and streaming applications
- 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 2+ years of data warehousing experience (Redshift or Snowflake)
- 3+ years of experience with UNIX/Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
Benefits
- Comprehensive health benefits
- Financial benefits including performance-based incentives
- Inclusive workplace environment
- Support for total well-being
