Data Engineer 4 – Cloud Operations Resilience Engineering

Capital One

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

Posted 10/27/2026full-timeUnited StatesMid-LevelSenior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering cloud data solutions using Python, Spark, and various database systems. Proficient in data pipeline development, data modeling, and implementing data privacy measures.

Highest-signal resume keywords

Python ProgrammingSpark FrameworkData Pipeline DesignSQL ProficiencyCloud Data Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingEnd-to-End Data SolutionsDistributed DataRelational DatabasesNoSQL DatabasesData Engineering Design PatternsData Privacy ImplementationMachine LearningMicroservices Architecture

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeAgile Methodologies

Industry Keywords

Data TrendsData CommunityCloud-First SolutionsOperational Efficiency

Tech Stack

Tools & technologies

CloudJavaMicroservicesNoSQLPythonScalaSnowflakeSparkSQL

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, 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 reusable data engineering design patterns
Communicate technical concepts and data outcomes to internal and external stakeholders
Design and build scalable, resilient, operationally efficient data pipelines and platforms
Implement encryption and fine-grained access controls to meet data privacy requirements

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 employer immigration sponsorship or immigration-related support for a new applicant
Ability to work with Python and Spark, relational and NoSQL databases, Databricks, and Snowflake

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) 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