Data Engineer 5

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.

• Influence developers, data analysts, and data scientists in areas such as machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

• Utilize Python, Spark, relational and NoSQL databases, Databricks, and Snowflake.

• Keep abreast of data trends, experiment with new technologies, engage in technology communities, and mentor data professionals.

• Work alongside product managers and software engineers to deliver cloud-first data solutions.

• Independently design, construct, and deliver cloud-based data solutions and applications.

• Architect and enforce data engineering design patterns to ensure code quality, maintainability, and reusability.

• Communicate technical concepts and data outcomes to internal and external stakeholders.

• Design and create scalable, resilient, and operationally efficient data pipelines and platforms.

• Mentor and elevate junior engineers and peers.

• Lead end-to-end large-scale data initiatives, making architectural decisions and evaluating platforms such as Snowflake and Databricks.

⛳️ Requirements

• Bachelor's Degree or higher in Computer Science or a related quantitative field.

• Minimum of 6 years of experience in application development (internship experience is not included).

• At least 4 years of experience in distributed data.

• A minimum of 4 years of experience with SQL.

• At least 4 years of programming experience with Python, Java, or Scala.

• A minimum of 4 years of experience designing and developing data pipelines.

• At least 2 years of experience in data modeling and designing end-to-end data solutions utilizing both relational and non-relational database systems.

• Preferred: Master's Degree in Computer Science or a related field.

• Preferred: 8+ years of experience in data engineering.

• Preferred: 4+ years of data modeling experience.

• Preferred: 9+ years of application development experience with Python, SQL, Scala, or Java.

• Preferred: 5+ years designing, deploying, and operating data workloads in a public cloud environment.

• Preferred: 5+ years building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks.

• Preferred: 5+ years designing, implementing, and operating real-time or streaming data pipelines.

• Preferred: 3+ years working with data observability or data orchestration tools.

• Preferred: 5+ years handling unstructured or semi-structured data using NoSQL databases.

• Preferred: 5+ years designing and supporting data warehousing solutions.

• Preferred: 3+ years working in an Agile development environment.

• Preferred: 3+ years developing user-centric reusable data products.

• Capital One may consider sponsoring a new qualified applicant for employment authorization.

🏝️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

• Comprehensive and competitive health, financial, and other benefits that support total well-being.

• Employment authorization sponsorship may be considered for a new qualified applicant.