Drive cloud-first data engineering initiatives as a Data Engineer 4 in McLean, VA.

Collaborate with Agile teams to design, develop, test, implement, and support solutions across full-stack development tools
Lead and influence developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Build and support data solutions using Python and Spark, leveraging open-source relational and NoSQL databases
Develop cloud data warehousing and lakehouse capabilities with platforms such as Databricks and Snowflake
Stay current with data engineering trends, experiment with new technologies, participate in internal and external communities, and mentor others
Partner with product managers and software engineers to deliver robust cloud-first data solutions that support experiences for millions of Americans
Independently design, build, and deliver cloud data solutions and applications with limited supervision
Architect and enforce shared data engineering design patterns to improve code quality, maintainability, and reusability
Create scalable, resilient data pipelines and platforms optimized for operational efficiency and performance under increasing demand
Implement security and compliance controls, including encryption at rest and in transit and fine-grained access control
Communicate technical concepts and data outcomes clearly to internal and external stakeholders as a data engineering ambassador

Bachelor’s degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
4+ years of experience in application development (internship experience does not apply)
2+ years of experience with distributed data
2+ years of experience with SQL
2+ years of experience with one programming language: Python, Java, or Scala
2+ years of experience in designing and developing data pipelines
1+ year designing data models and end-to-end solutions using both relational and non-relational databases

7+ years of application development experience with proficiency in Python, SQL, Scala, or Java
4+ years designing, deploying, and operating data workloads in a public cloud environment (AWS, Microsoft Azure, or Google Cloud)
4+ years building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
4+ years designing, implementing, and operating real-time or streaming data pipelines
2+ years of experience with data observability (e.g., Monte Carlo, Splunk) or data orchestration (e.g., Airflow, Dagster)
4+ years working with unstructured or semistructured data using NoSQL systems (e.g., MongoDB, Cassandra, DynamoDB)
4+ years designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
2+ years working in an Agile development environment
2+ years developing user-centric reusable data products

Eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Capital One will not sponsor a new applicant for employment authorization or offer immigration related support for this position (e.g., H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, or other work authorization requiring employer immigration support).

Data Engineer 4

Job Description