Data Engineer developing cloud-based solutions at Capital One, solving complex business problems with data and technology. Collaborating with Agile teams and sharing expertise in full-stack development.
Responsibilities
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
Requirements
Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
5+ years of experience in application development including Python, SQL, Scala, or Java (Preferred Qualification)
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred Qualification)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (Preferred Qualification)
2+ year experience working on real-time data and streaming applications (Preferred Qualification)
2+ years of experience with NoSQL implementation (Mongo, Cassandra) (Preferred Qualification)
2+ years of data warehousing experience (Redshift or Snowflake) (Preferred Qualification)
3+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred Qualification)
2+ years of experience with Agile engineering practices (Preferred Qualification)
Benefits
eligibility varies based on full or part-time status, exempt or non-exempt status, and management level
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Job title
Senior Data Engineer – Intelligent Foundations, Experiences
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