Data Engineer

Capital One

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

Posted 9/29/2026full-timeUnited 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, with a strong focus on data pipeline development, data modeling, and the use of modern data technologies. Proficient in collaborating with cross-functional teams to deliver scalable and efficient data architectures while ensuring data security and compliance.

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 Engineering Design PatternsData Security StandardsMachine LearningMicroservices ArchitectureFull-Stack SystemsData WarehousingData Analysis

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeSparkEMRGlueAirflowMonte CarloSplunkDynamoDBMongoDB

Industry Keywords

Cloud ComputingData EngineeringNoSQL DatabasesRelational DatabasesData PipelinesData SolutionsStreaming DataData ObservabilityAgile MethodologyQuantitative Analysis

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate with 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, 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 common data engineering design patterns across data platforms and pipelines
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
No employment authorization sponsorship or immigration-related 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 such as MongoDB, Cassandra, or DynamoDB
Preferred: 4+ years designing and supporting data warehousing solutions such as Snowflake or Redshift
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 bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodation support for applicants with disabilities