Software Engineer contributing to design and functionality of customer communications solutions for KUBRA. Engaging in projects using Java and related technologies in a fast - paced environment.
About the role
- Lead Data Engineer at Capital One building data solutions with emerging technologies in a collaborative environment. Focus on data engineering to enhance customer experiences and drive business value.
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 4 years of experience in application development
- At least 2 years of experience in big data technologies
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- Master’s Degree (Preferred)
- 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot)
- 7+ years of experience in application development including Python, SQL, Scala, or Java
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 4+ years of 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 applications
- 4+ 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 scripting
- 4+ years of experience with data modeling for data warehousing
- 2+ years of experience with Agile engineering practices
Benefits
- Health insurance
- Comprehensive and competitive benefits
- Performance based incentive compensation (cash bonuses and/or long term incentives)
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