Capital One
Senior Data Engineering Leader (Python, AWS)
Capital One, Washington, District of Columbia, us, 20022
Join our innovative team as a Senior Data Engineering Leader at Capital One! Are you passionate about harnessing the power of data to solve complicated business challenges? Do you thrive in a fast-paced and collaborative environment full of creativity and cutting-edge technology? If so, this opportunity is perfect for you!
At Capital One, you will be part of a dynamic group of engineers who are transforming the technology landscape. As a Lead Data Engineer, you will play a pivotal role in transforming data into insightful solutions that meet our customer's needs.
What You'll Do:
Collaborate with Agile teams to design, develop, test, implement, and maintain innovative technical solutions using full-stack development tools and technologies.
Work alongside developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, Python, and leverage Open Source RDBMS and NoSQL databases along with Cloud-based data warehousing services like Redshift and Snowflake.
Stay abreast of tech trends, experiment with and learn new technologies, actively participate in technology communities, and mentor fellow engineers.
Partner with digital product managers to create robust cloud-based solutions that empower millions of Americans with their financial journeys.
Perform rigorous unit testing and code reviews to ensure your code is meticulously designed, efficiently coded, and optimized for performance.
Basic Qualifications: Bachelor's Degree
A minimum of 4 years of experience in application development (Internship experience does not apply).
At least 2 years of experience in big data technologies.
Minimum of 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications: 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.
This position is based in McLean, VA, with a salary range of $193,400 - $220,700 for the role of Lead Data Engineer. Please note:
Capital One will not sponsor new applicants for employment authorization or offer immigration-related support for this position. Capital One offers a competitive benefits package, including health and financial benefits to support your overall well-being. Capital One is an equal opportunity employer, committed to non-discrimination in compliance with applicable laws.
Work alongside developers specializing in machine learning, distributed microservices, and full-stack systems.
Utilize programming languages such as Java, Scala, Python, and leverage Open Source RDBMS and NoSQL databases along with Cloud-based data warehousing services like Redshift and Snowflake.
Stay abreast of tech trends, experiment with and learn new technologies, actively participate in technology communities, and mentor fellow engineers.
Partner with digital product managers to create robust cloud-based solutions that empower millions of Americans with their financial journeys.
Perform rigorous unit testing and code reviews to ensure your code is meticulously designed, efficiently coded, and optimized for performance.
Basic Qualifications: Bachelor's Degree
A minimum of 4 years of experience in application development (Internship experience does not apply).
At least 2 years of experience in big data technologies.
Minimum of 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred Qualifications: 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.
This position is based in McLean, VA, with a salary range of $193,400 - $220,700 for the role of Lead Data Engineer. Please note:
Capital One will not sponsor new applicants for employment authorization or offer immigration-related support for this position. Capital One offers a competitive benefits package, including health and financial benefits to support your overall well-being. Capital One is an equal opportunity employer, committed to non-discrimination in compliance with applicable laws.