Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG)

Capital One • McLean, VA

3d • $179,400 - $204,700

About The Position

Capital One is seeking a Data Engineer to help drive a major technology transformation by building cloud-first data solutions. The role works across Agile teams and with product managers, software engineers, developers, data analysts, and data scientists to design, develop, test, implement, and support data solutions and applications. The engineer independently delivers cloud data solutions, applies common design patterns, and communicates technical concepts and outcomes to stakeholders. The work emphasizes scalable, resilient, secure, and operationally efficient data platforms and pipelines.

Requirements

• Bachelor's degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
• At least 4 years of application development experience; internship experience does not apply.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of experience with one programming language: Python, Java, or Scala.
• At least 2 years of data pipeline design and development experience.
• At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems.

Nice To Haves

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

Responsibilities

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions.
• Influence a team of developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Use programming languages and data technologies such as Python, Spark, relational and NoSQL databases, Databricks, and Snowflake.
• Keep current with data trends and emerging technologies, participate in technology communities, and mentor members of the data community.
• Collaborate with product managers and software engineers to deliver cloud-first data solutions.
• Independently design, build, and deliver cloud data solutions and applications with little or no managerial support.
• Architect and enforce common data engineering design patterns to promote code quality, maintainability, and reusability.
• Communicate technical concepts and data outcomes clearly to internal and external stakeholders.
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms.
• Implement data security standards, including encryption at rest and in transit and fine-grained access control, to support compliance with data privacy regulations.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior