Data Engineer 4, Python, AWS

Capital One

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

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $179,400 - $204,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud data solutions, utilizing programming languages such as Python and SQL, and applying data engineering design patterns for scalable and efficient data pipelines. Proficient in collaborating with cross-functional teams to deliver innovative data solutions while ensuring compliance with data security standards.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline DesignCloud Data SolutionsAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingDistributed DataData Engineering Design PatternsData Security StandardsMachine LearningNoSQL DatabasesRelational DatabasesData WarehousingStreaming Data Pipelines

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

SparkDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRGlue

Industry Keywords

Cloud-First Data SolutionsLakehouse ArchitectureData ObservabilityData OrchestrationUser-Centric Data Products

Tech Stack

Tools & technologies

AWSAzureCloudJavaMicroservicesNoSQLPythonScalaSparkSQL

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 working with 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 control, to support 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 one programming language (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 designing end-to-end data solutions using both relational and non-relational database systems
No employment authorization sponsorship or immigration-related support is available for new applicants
Preferred: 7+ years of application development experience with proficiency in Python, SQL, Scala, or Java
Preferred: 4+ years of hands-on experience designing, deploying, and operating data workloads in a public cloud environment (AWS, Microsoft Azure, or Google Cloud)
Preferred: 4+ years building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 4+ years designing, implementing, and operating real-time or streaming data pipelines
Preferred: 2+ years working on data observability or data orchestration tools
Preferred: 4+ years working with unstructured or semistructured data using NoSQL databases
Preferred: 4+ years designing and supporting data warehousing solutions
Preferred: 2+ years working in an Agile development environment
Preferred: 2+ years developing user-centric reusable data products

Benefits

Comp & perks

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