Data Engineer

Capital One

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

Posted 9/30/2026full-timeMcLean • Virginia • United 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 using Python, SQL, and distributed data technologies. Proficient in data pipeline development, data modeling, and ensuring data security compliance.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Pipeline DesignCloud Data SolutionsData Security Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingDistributed DataData Pipeline DevelopmentRelational DatabasesNoSQL DatabasesMachine LearningMicroservices ArchitectureData WarehousingData Engineering Design Patterns

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeAWSMicrosoft AzureGoogle CloudEMRSparkGlueAirflowMonte Carlo

Industry Keywords

Agile DevelopmentData SecurityPrivacy ComplianceData ObservabilityStreaming Data Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Influence teams of developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark, open-source relational and NoSQL databases, and cloud-based 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 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 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 application development experience with Python, SQL, Scala, or Java
Preferred: 4+ years designing, deploying, and operating data workloads in a public cloud environment (AWS, Microsoft Azure, or Google Cloud)
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 working with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 4+ years working with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: 4+ years designing and supporting data warehousing solutions such as Snowflake or Redshift
Preferred: 2+ years working in an Agile development environment
Preferred: 2+ years 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 health, financial, and other benefits supporting total well-being
Reasonable accommodation support for applicants with disabilities