Data Engineer 4 – Modeling & Architecture

Capital One

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

Posted 11/2/2026full-timeUnited 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, with a strong focus on data pipeline development, data architecture, and compliance with data security standards. Proficient in collaborating across Agile teams and communicating technical concepts effectively to stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline DesignCloud Data SolutionsData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingDistributed DataData WarehousingMachine LearningNoSQL DatabasesRelational DatabasesData Security StandardsData Engineering Design PatternsStreaming Data Pipelines

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

SparkDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRGlueAgile DevelopmentData Observability Tools

Industry Keywords

Cloud-First Data SolutionsLakehouse ArchitectureFull-Stack SystemsPrivacy ComplianceData Trends

Tech Stack

Tools & technologies

AWSAzureCloudJavaMicroservicesNoSQLPythonScalaSnowflakeSparkSQL

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, 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 common data engineering design patterns across data platforms and pipelines
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, 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 relational and non-relational database systems
Preferred: 7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java
Preferred: 4+ years of experience in Data Architecture/Data Modeling
Preferred: 4+ years of experience designing, deploying, and operating data workloads in a public cloud environment (AWS, Microsoft Azure, or Google Cloud)
Preferred: 4+ years of experience building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
Preferred: 2+ years of experience with data observability or data orchestration tools
Preferred: 4+ years of experience with unstructured or semistructured data using NoSQL databases
Preferred: 4+ years of experience designing and supporting data warehousing solutions
Preferred: 2+ years of experience in an Agile development environment
Preferred: 2+ years of experience developing user-centric reusable data products
Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position

Benefits

Comp & perks

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