Senior Data Engineer (Python, AWS)

Capital One - Annapolis, MD

Full-time - Mid Level

Annapolis, MD

Credit Intermediation and Related Activities

About the position

As a Senior Data Engineer at Capital One, you will be instrumental in innovating and optimizing data pipeline architecture within the Sales Data Team. This role focuses on building and maintaining sophisticated data pipelines that leverage advanced AWS services to provide actionable insights and analytics, empowering sales associates and driving strategic decision-making.

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 engineers.
• 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 (Kafka, Spark, Flink)
• 2+ year experience working on Real Time data and streaming applications
• 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
• 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
• Inclusive workplace benefits