Sr. Data Engineer

Job Title: Senior Data Engineer

Location: Richmond, Virginia

Duration: 12 Months

Reclocation is allowed

Need ex-Capital One candidates only

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

Basic Qualifications:

• Bachelor s Degree
• 8+ years of experience in application development including Python, SQL, Scala, or Java
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 2+ years of experience working with Databricks
• 3+ years experience with Distributed data or computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 2+ year experience working on real-time data and streaming applications
• 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 2+ years of data warehousing experience (Redshift or Snowflake)
• 3+ years of experience with UNIX or Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices
• At least 3years of experience in application development (Internship experience does not apply)
• At least 1 year of experience in big data technologie