Data Engineer 4 – Intelligent Foundations and Experiences

Capital One

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

Posted 10/7/2026full-timeRichmond • Virginia • United StatesMid-LevelSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud data solutions, utilizing Python, SQL, and distributed data technologies. Proficient in data pipeline development, data modeling, and ensuring data security and compliance.

Highest-signal resume keywords

Python ProgrammingSQL DevelopmentData Pipeline DesignCloud Data SolutionsAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingData Engineering Design PatternsMachine LearningDistributed MicroservicesLakehouse ArchitectureFull-Stack SystemsData Security StandardsData Pipeline DevelopmentData Observability

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRSparkGlueAirflowDagster

Industry Keywords

NoSQL DatabasesRelational DatabasesData TrendsPrivacy ComplianceStreaming Data Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark, open-source relational and NoSQL databases, Databricks, and Snowflake
Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data-community members
Collaborate 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 data engineering design patterns for code quality, maintainability, and reusability
Communicate technical concepts and data outcomes to internal and external stakeholders
Design and build scalable, resilient, and operationally efficient data pipelines and platforms
Implement data security standards, including encryption and fine-grained access controls, while ensuring privacy compliance

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 4 years of experience in application development; 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 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 end-to-end data solutions using relational and non-relational database systems
No employer immigration sponsorship or immigration-related support available for new applicants
Preferred: 7+ years of application development experience
Preferred: 4+ years designing, deploying, and operating workloads in AWS, Microsoft Azure, or Google Cloud
Preferred: 4+ years with EMR, Spark, Glue, or Databricks
Preferred: 4+ years designing and operating real-time or streaming data pipelines
Preferred: 2+ years with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 4+ years with NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: 4+ years designing and supporting Snowflake or Redshift data warehousing solutions
Preferred: 2+ years in an Agile development environment
Preferred: 2+ years developing user-centric reusable data products

Benefits

Comp & perks

Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them