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, and implement technical solutions using full-stack development tools and technologies. Your responsibilities will include influencing a team of developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

Key skills and technologies you will work with include:

• Programming languages such as Python and Spark
• Open-source relational and NoSQL databases
• Cloud-based data warehousing platforms including Databricks and Snowflake

Your tasks will involve:

• Designing, building, and delivering cloud-first data solutions that drive powerful customer experiences
• Independently designing, building, and delivering world-class cloud data solutions and applications
• 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 stakeholders
• Designing and building data pipelines and platforms with a focus on scalability, resilience, and operational efficiency
• Implementing data security standards, including encryption and fine-grained access control

The successful candidate will have:

• A 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

Preferred qualifications include:

• 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
• Experience with data observability, data orchestration tools, and NoSQL databases

In terms of compensation, the salary range for this role is:

• Remote: $179,400 - $204,700 per year
• McLean, VA: $197,300 - $225,100 per year

This role is also eligible for performance-based incentive compensation, including cash bonuses and long-term incentives.