Data Engineer 4

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