Data Engineer 4 – Manager, IC – Risk Tech

Capital One

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

Posted 9/24/2026full-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-based data solutions using Python, SQL, and data pipeline development. Proficient in collaborating with cross-functional teams to deliver scalable data architectures and ensure data security standards.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Pipeline DesignCloud Data SolutionsAgile Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData ModelingDistributed DataData Engineering Design PatternsMachine LearningRelational DatabasesNoSQL DatabasesData Security StandardsData WarehousingData Observability

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeSparkEMRGlueAirflowMonte CarloSplunkDynamoDBCassandra

Industry Keywords

Cloud ComputingData EngineeringAgile MethodologyData SolutionsData Pipelines

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

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 working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark, 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 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
Implement data security standards including encryption and fine-grained access control

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
Preferred: Experience with EMR, Spark, Glue, or Databricks
Preferred: Experience designing, implementing, and operating real-time or streaming data pipelines
Preferred: Experience with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: Experience designing and supporting data warehousing solutions such as Snowflake or Redshift
Preferred: Experience in Agile development
Preferred: Experience developing user-centric reusable data products
Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities