Lead Data Engineer (Python, AWS, Kafka)

$187,700 - $214,200/Yr

Capital One - Baltimore, MD

Full-time - Mid Level

Baltimore, MD

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 organization by leveraging your expertise in data engineering and emerging technologies. You will collaborate with Agile teams to design, develop, and implement technical solutions that address complex business challenges, while also mentoring fellow engineers and contributing to a culture of innovation and continuous improvement.

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 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 in a relevant field.
• At least 4 years of experience in application development (excluding internship experience).
• 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 of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ years of 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 culture
• Support for total well-being