Data Engineer

Capital One

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

Posted 11/12/2026full-timeUnited StatesMid-LevelSenior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud data solutions using Python and Spark, with a strong focus on data pipeline development and architecture. Proficient in collaborating with cross-functional teams to deliver scalable and secure data systems while adhering to data privacy regulations.

Highest-signal resume keywords

Python ProgrammingData Pipeline DesignCloud Data SolutionsSQL ProficiencyData Engineering Design Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentDistributed DataData ModelingRelational Database SystemsNon-Relational Database SystemsData Security StandardsMachine LearningMicroservices ArchitectureLakehouse ArchitectureData Analysis

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeAgile MethodologiesOpen-Source DatabasesCloud Data Warehouses

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Data Privacy RegulationsData TrendsTechnical SolutionsData ProfessionalsCloud-First Solutions

Tech Stack

Tools & technologies

CloudJavaMicroservicesNoSQLPythonScalaSnowflakeSparkSQL

About the role

Key responsibilities & impact

Collaborate with 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 with open-source relational and NoSQL databases and cloud data warehouses including Databricks and Snowflake
Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals
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, in compliance with data privacy regulations

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
Must be able to work under Capital One's hybrid policy with required on-site presence at the designated office location
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