Lead Data Engineer (Java, Python, AWS)

$187,700 - $214,200/Yr

Capital One - Chicago, IL

Full-time - Mid Level

Chicago, IL

Credit Intermediation and Related Activities

About the position

As a Lead Data Engineer at Capital One, you will play a pivotal role in transforming data solutions within the organization. You will work collaboratively in a fast-paced environment, leveraging your expertise in data engineering to solve complex business problems. This position involves utilizing technologies such as Java, Python, and AWS to develop robust data solutions that enhance customer experiences and drive financial empowerment.

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 like Java, Scala, Python, and Open Source RDBMS and NoSQL databases.
• Share knowledge of tech trends and mentor other engineering community members.
• Deliver cloud-based solutions that enhance user experiences.
• Perform unit tests and conduct code reviews to ensure high-quality code.

Requirements

• Bachelor's Degree
• At least 4 years of experience in application development
• At least 2 years of experience in big data technologies
• At least 1 year 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 including performance-based incentives
• Inclusive workplace environment
• Opportunities for professional development