Data Engineer

Capital One

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

Posted 10/4/2026full-timeUnited StatesMid-LevelSenior💰 $197,300 - $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, Spark, and SQL, while ensuring data security and compliance. Proven ability to collaborate across Agile teams and communicate complex technical concepts effectively to stakeholders.

Highest-signal resume keywords

Python DevelopmentData Pipeline DesignCloud Data SolutionsSQL ProficiencyAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingDistributed DataData WarehousingData Security StandardsMachine LearningMicroservices ArchitectureReal-Time Data PipelinesNoSQL DatabasesData Engineering Design Patterns

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeEMRGlueAirflowMonte CarloSplunkDagster

Industry Keywords

Cloud Data WarehousingLakehouse ArchitectureData TrendsData CommunityCross-Cloud Migration

Tech Stack

Tools & technologies

AirflowCloudJavaMicroservicesNoSQLPythonScalaSparkSplunkSQL

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 with relational and NoSQL databases and cloud data warehousing platforms including 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
Lead key aspects of a large-scale cross-cloud migration for the Travel Data team
Unify multi-cloud datasets into a central data lake using Python, Spark, and Databricks
Enable real-time personalized recommendations, tailored travel offers, and intelligent user benefits

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science or a related quantitative field
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 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
No employer-sponsored immigration or work authorization support available for new applicants
Preferred: 7+ years of application development experience
Preferred: 4+ years designing, deploying, and operating data workloads in a public cloud environment
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 with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 4+ years with unstructured or semistructured data using NoSQL databases
Preferred: 4+ years designing and supporting data warehousing solutions
Preferred: 2+ years 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 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 with disabilities