Job Description
Lead Data Engineer - Python, SparkCollaborate with 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.Key Responsibilities:Collaborate with 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 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.Basic Qualifications:Bachelor's DegreeAt least 4 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesAt least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years 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 applications4+ 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 scripting2+ years of experience with Agile engineering practicesCapital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.