Senior Lead Data Engineer

Position Overview

Do you love building and pioneering in the technology space? At Capital One, as a Senior Lead Data Engineer, you will be on the forefront of a major transformation—solving complex business problems in a fast-paced, collaborative environment. You’ll work with a team of makers, breakers, doers, and disruptors, using emerging technologies to drive innovative data solutions.

Key Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
• Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
• Utilize programming languages like Java, Scala, Python along with Open Source RDBMS, NoSQL databases, and cloud-based data warehousing services such as Redshift and Snowflake.
• Stay on top of tech trends, experiment with new technologies, participate in technology communities, and mentor fellow engineering professionals.
• Collaborate with digital product managers to deliver robust cloud-based solutions that empower millions of Americans.
• Perform unit tests and conduct peer reviews to ensure code is rigorously designed, elegantly coded, and optimized for performance.

Required Qualifications

• 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)

Preferred Qualifications

• Master's Degree
• 9+ 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)
• 5+ 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 & Perks

• Compensation: McLean, VA: $229,900 - $262,400; Richmond, VA: $209,000 - $238,500
• Performance Based Incentives: Eligible for cash bonus(es) and/or long term incentives.
• Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting your total well-being.