Data Engineer 4 (Manager IC) - Modeling & Architecture

Capital One • McLean, VA

4d • $179,400 - $225,100

About The Position

Capital One is seeking a Data Engineer passionate about combining data with emerging technologies to help drive a major transformation. The role involves independently designing, building, and delivering cloud data solutions and applications, often with little or no supervisory support. The engineer will work across Agile teams and collaborate with product managers, software engineers, data analysts, and data scientists to deliver cloud-first solutions.

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 experience in distributed data.
• At least 2 years of experience with SQL.
• 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 experience in data architecture or data modeling.
• 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 (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, 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 developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms such as Databricks and Snowflake.
• Stay current with data technology trends, experiment with new technologies, participate in technology communities, and mentor members of the data community.
• Work with product managers and software engineers to deliver cloud-first data solutions.
• Independently design, build, and deliver cloud data solutions and applications.
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reuse across platforms and pipelines.
• Communicate technical concepts and data outcomes to internal and external stakeholders to drive alignment and shared understanding.
• Design and build scalable, resilient, operationally efficient data pipelines and platforms.
• Implement data security standards, including encryption at rest and in transit and fine-grained access controls, while ensuring compliance with data privacy regulations.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Eligibility for 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