Lead Data Engineer (Bank Tech)

Capital One - Wilmington, DE

Full-time - Mid Level

Wilmington, DE

Credit Intermediation and Related Activities

About the position

As a Lead Data Engineer at Capital One, you will play a pivotal role in transforming the technology landscape by solving complex business problems through innovative data solutions. This position involves collaborating with Agile teams to design, develop, and implement technical solutions using a variety of programming languages and cloud technologies. You will be at the forefront of leveraging data and emerging technologies to enhance customer experiences and drive financial empowerment for millions of Americans.

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 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 of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice-to-haves

• 7+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, 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
• 2+ years of experience with Agile engineering practices

Benefits

• Comprehensive health benefits
• Financial benefits
• Inclusive benefits supporting total well-being