Lead Data Engineer – Finance Tech

Role Overview

• 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 4 years of experience in application development (Internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• 7+ years of experience in application development including Python, SQL, Scala, or Java (Preferred Qualifications)
• 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred Qualifications)
• 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (Preferred Qualifications)
• 4+ year experience working on real-time data and streaming applications (Preferred Qualifications)
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra) (Preferred Qualifications)
• 4+ years of data warehousing experience (Redshift or Snowflake) (Preferred Qualifications)
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred Qualifications)
• 2+ years of experience with Agile engineering practices (Preferred Qualifications)
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Preferred Qualifications)
• At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Tech Stack

• Amazon Redshift
• AWS
• Azure
• Cassandra
• Cloud
• Hadoop
• Java
• Kafka
• Linux
• MapReduce
• Microservices
• MySQL
• NoSQL
• Open Source
• Python
• RDBMS
• Scala
• Shell Scripting
• Spark
• SQL
• Unix

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being