Data Engineer- Card Marketing (Remote-Eligible) at Capital One (Washington DC)
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 solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
This role is for a position on one of the teams in the Campaign and Journey Management space within Card Marketing. This is an exciting long term project that involves data wrangling and integration with SalesForce Marketing Cloud. In this role you will be working with PySpark, EMR, and Airflow to name just a few. This is an excellent opportunity to work on a fast-paced team and learn multiple technologies as you go.
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 Redshift and 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 conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Capital One is open to hiring a Remote Employee for this opportunity.
At least 2 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
3+ years of experience in application development including Python, SQL, Scala, or Java
1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
1+ years experience working on real-time data and streaming applications
1+ years of experience with NoSQL implementation (Mongo, Cassandra)
1+ years of data warehousing experience (Redshift or Snowflake)
2+ years of experience with UNIX/Linux including basic commands and shell scripting
1+ years of experience with Agile engineering practices
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
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Capital One Financial is made up of several different entities. Please note that 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. (COPSSC).