Lead Data Engineer (Python, Spark, AWS)

$187,700 - $214,200/Yr

Capital One - Richmond, VA

Full-time - Mid Level

Richmond, VA

Credit Intermediation and Related Activities

About the position

As a Lead Data Engineer at Capital One, you will play a pivotal role in driving technological transformation by solving complex business problems through innovative data solutions. You will collaborate with Agile teams to design, develop, and implement robust cloud-based systems, utilizing your expertise in big data technologies and programming languages. This position offers the opportunity to work with cutting-edge technologies and mentor fellow engineers in a dynamic and inclusive environment.

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 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 (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 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
• Support for total well-being
• Inclusive workplace environment