Data Engineer 4

Capital One · McLean, VA · $179,400 - $204,700 We are seeking experienced Data Engineers to join our team, who are passionate about combining data with emerging technologies. As a Data Engineer 4 at Capital One, you will be at the forefront of driving a major transformation across the company. You will collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies. You will influence a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems. Key responsibilities include: Designing, building, and delivering cloud-first data solutions that drive powerful experiences for customers Utilizing programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms like Databricks and Snowflake Architecting and enforcing common data engineering design patterns to ensure code quality, maintainability, and reusability Serving as an ambassador for the data engineering team, communicating technical concepts and data outcomes to internal and external stakeholders Implementing data security standards, including encryption and fine-grained access control, to ensure compliance with data privacy regulations Requirements: Bachelor's degree or higher in Computer Science or a related quantitative field At least 4 years of experience in application development At least 2 years of experience in distributed data, SQL, and 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 relational and non-relational database systems Preferred qualifications: 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java 4+ years of hands-on experience designing, deploying, and operating data workloads in public cloud environments 4+ years of experience building or supporting distributed data or compute workloads using tools like EMR, Spark, Glue, or Databricks The salary ranges for this role are: Chicago, IL: $179,400 - $204,700 McLean, VA: $197,300 - $225,100 Plano, TX: $179,400 - $204,700 Richmond, VA: $179,400 - $204,700