Capital One
Are you passionate about technology and eager to drive innovation? At Capital One, we are seeking a Senior Data Engineering Leader to join our dynamic team. Here, you will play a pivotal role in solving complex business challenges in a collaborative and fast-paced environment. Join a group of makers, breakers, doers, and disruptors, working toward real solutions that empower millions of customers.
What You'll Do:
Work collaboratively across Agile teams to design and implement cutting-edge technical solutions using full-stack development tools and technologies.
Lead a team of skilled developers with expertise in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, Python, and work with both Open Source RDBMS and NoSQL databases, as well as cloud data warehousing services like Redshift and Snowflake.
Stay ahead of tech trends by exploring and experimenting with new technologies, while mentoring fellow engineers.
Collaborate with digital product managers to develop robust cloud-based solutions that enhance customer financial experiences.
Conduct thorough unit tests and code reviews, ensuring high-quality, efficient, and expertly crafted code.
Basic Qualifications: Bachelor's Degree.
At least 6 years of experience in application development.
At least 2 years of experience with 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 using Python, SQL, Scala, or Java.
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
5+ years in distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years working with real-time data and streaming applications.
4+ years of NoSQL experience (Mongo, Cassandra).
4+ years of data warehousing experience (Redshift or Snowflake).
4+ years of UNIX/Linux experience including basic commands and Shell Scripting.
2+ years of experience with Agile engineering practices.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are as follows: McLean, VA: $225,400 - $257,200; Plano, TX: $204,900 - $233,800; Richmond, VA: $204,900 - $233,800. Salaries for part-time roles are prorated based on the agreed-upon hours. This position is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Join us at Capital One for a comprehensive, competitive, and inclusive benefits package that supports your well-being. To apply, we welcome applications for a minimum of 5 business days. No agencies, please. Capital One is an equal opportunity employer committed to non-discrimination. If you require an accommodation in the application process, please contact Capital One Recruiting. Capital One Financial is comprised of several entities, and any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, and any position posted in the Philippines is for Capital One Philippines Service Corp.
Lead a team of skilled developers with expertise in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, Python, and work with both Open Source RDBMS and NoSQL databases, as well as cloud data warehousing services like Redshift and Snowflake.
Stay ahead of tech trends by exploring and experimenting with new technologies, while mentoring fellow engineers.
Collaborate with digital product managers to develop robust cloud-based solutions that enhance customer financial experiences.
Conduct thorough unit tests and code reviews, ensuring high-quality, efficient, and expertly crafted code.
Basic Qualifications: Bachelor's Degree.
At least 6 years of experience in application development.
At least 2 years of experience with 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 using Python, SQL, Scala, or Java.
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
5+ years in distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
4+ years working with real-time data and streaming applications.
4+ years of NoSQL experience (Mongo, Cassandra).
4+ years of data warehousing experience (Redshift or Snowflake).
4+ years of UNIX/Linux experience including basic commands and Shell Scripting.
2+ years of experience with Agile engineering practices.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are as follows: McLean, VA: $225,400 - $257,200; Plano, TX: $204,900 - $233,800; Richmond, VA: $204,900 - $233,800. Salaries for part-time roles are prorated based on the agreed-upon hours. This position is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Join us at Capital One for a comprehensive, competitive, and inclusive benefits package that supports your well-being. To apply, we welcome applications for a minimum of 5 business days. No agencies, please. Capital One is an equal opportunity employer committed to non-discrimination. If you require an accommodation in the application process, please contact Capital One Recruiting. Capital One Financial is comprised of several entities, and any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, and any position posted in the Philippines is for Capital One Philippines Service Corp.