Data Engineer 4 – Manager, IC

Capital One

. Collaborate across 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 ProgrammingSQL 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 DevelopmentMachine LearningMicroservices ArchitectureRelational DatabasesNoSQL DatabasesData Engineering Design PatternsData Warehousing Solutions

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

SparkDatabricksSnowflakeAWSMicrosoft AzureGoogle CloudAirflowMonte CarloSplunkGlue

Industry Keywords

Agile DevelopmentData TrendsPrivacy ComplianceStreaming Data PipelinesUser-Centric Data Products

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
Influence a team 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, 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 reuse
Represent the data engineering team and communicate technical concepts and data outcomes to 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 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
Preferred: 7+ years of experience in application development with Python, SQL, Scala, or Java
Preferred: 4+ years of experience designing, deploying, and operating data workloads in AWS, Microsoft Azure, or Google Cloud
Preferred: 4+ years of experience with distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 4+ years of experience with real-time or streaming data pipelines
Preferred: 2+ years of experience with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 4+ years of experience with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: 4+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift
Preferred: 2+ years of experience in an Agile development environment
Preferred: 2+ years of experience 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 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
Equal opportunity employment and non-discrimination protections
Drug-free workplace