Data Engineer 5

Capital One

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

Posted 11/2/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $209,000 - $238,500 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 engineering, data modeling, and building scalable data pipelines. Proficient in Python, SQL, and distributed data technologies, while effectively mentoring and collaborating with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingData EngineeringSQL DevelopmentCloud Data SolutionsData Pipeline Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingData Pipeline DevelopmentMachine LearningDistributed MicroservicesNoSQL DatabasesRelational DatabasesSparkDatabricks

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

SnowflakeDatabricksEMRGlueAgile Development

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Industry Keywords

Cloud ComputingData EngineeringData WarehousingData ObservabilityData Orchestration

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, Spark, relational and NoSQL databases, 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
Mentor and elevate junior engineers and peers
Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake and Databricks

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science or a related quantitative field
At least 6 years of experience in application development (internship experience does not apply)
At least 4 years of experience in distributed data
At least 4 years of experience with SQL
At least 4 years of programming experience with Python, Java, or Scala
At least 4 years of experience designing and developing data pipelines
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems
Preferred: Master's Degree in Computer Science or a related field
Preferred: 8+ years of experience in data engineering
Preferred: 4+ years of data modeling experience
Preferred: 9+ years of application development experience with Python, SQL, Scala, or Java
Preferred: 5+ years designing, deploying, and operating data workloads in a public cloud environment
Preferred: 5+ years building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 5+ years designing, implementing, and operating real-time or streaming data pipelines
Preferred: 3+ years working on data observability or data orchestration tools
Preferred: 5+ years working with unstructured or semistructured data using NoSQL databases
Preferred: 5+ years designing and supporting data warehousing solutions
Preferred: 3+ years working in an Agile development environment
Preferred: 3+ years developing user-centric reusable data products
Capital One will consider sponsoring a new qualified applicant for employment authorization

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
Employment authorization sponsorship may be considered for a new qualified applicant