Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,
inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers, and disruptors, who love to solve real problems and meet real customer needs.
They are seeking Data Engineers who will be a part of a team that’s building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing. As a Capital One Data Engineer, you’ll have the opportunity to be at the forefront of driving a major transformation within Capital One. Learn more about#lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on their Corporate Social Responsibility Report.
What You’ll Do
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full-stack systems
- Utilize programming languages like Java, Scala, Python, and Open Source RDBMS and NoSQL databases and Cloud-based data warehousing services such as Snowflake
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Perform unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications
- Bachelor’s Degree
- At least 5 years of experience in application development
- At least 2 years of experience in big data technologies (Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, or Zookeeper)
Preferred Qualifications
- Master’s Degree
- 7+ years of experience in application development
- 3+ year experience working on streaming data applications (Spark Streaming, Kafka, Kinesis, and Flink
- 1+ years of experience with Amazon Web Services (AWS), Microsoft Azure, or another public cloud service
- 2+ years of experience with Ansible / Terraform
- 3+ years of experience with Agile engineering practices
- 3+ years of in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
- 3+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 3+ years of experience developing Java-based software solutions
- 4+ years of experience in at least one scripting language (Python, Perl, JavaScript, Shell)
- 4+ years of experience developing software solutions to solve complex business problems
- 3+ years of experience with UNIX/Linux including basic commands and shell scripting
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
