Data Engineer 4, Real-time Data Platform

Data Engineer 4, Real-time Data Platform Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced,  inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: • Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights • Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python • Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets • Influence best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data. • 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 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 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 • 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 or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 4 years of experience in application development (Internship experience does not apply) • At least 2 years of experience in distributed data • At least 2 years of experience with SQL • At least 2 years of experience with one programming language (Python, Java, or Scala) • At least 2 years of experience in data pipeline design and development • At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: • 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java • 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) • 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks • 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines • 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) • 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., Mon