Data Engineer
2 days ago
Data Engineers at Capital One drive transformation by marrying data with emerging technologies. You'll be part of a team that innovates and optimizes our data pipeline architecture, building sophisticated pipelines that ingest data from major auto customers utilizing AWS services.
Key Responsibilities:
- Design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platforms that provide meaningful and timely insights.
- Build next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) with programming languages like Java, Scala, Python.
- Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams.
- 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 Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
- 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.
Compensation Package:
$150,000 per year plus benefits including health insurance, retirement savings plan, paid time off, and professional development opportunities.
Requirements:
- 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
Preferred Qualifications:
- 5+ 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)
- 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)
- 2+ year experience working on real-time data and streaming applications
- 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)
- 2+ years of data warehousing experience (Redshift or Snowflake)
- 3+ years of experience with UNIX/Linux including basic commands and shell scripting
- 2+ years of experience with Agile engineering practices
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