Senior Data Engineer

Capital One is a technology-driven financial services company seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you will design and implement technical solutions in a collaborative Agile environment, utilizing various programming languages and cloud services. 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 Qualifications: 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 Required Skills: Application Development, Big Data Technologies, Python, SQL, Scala, Java, Public Cloud, AWS, Microsoft Azure, Google Cloud, Distributed Data Computing, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, Real-time Data Streaming, NoSQL, MongoDB, Cassandra, Data Warehousing, Redshift, Snowflake, UNIX/Linux, Shell Scripting, Agile Engineering Practices