Senior Data Engineer, IC

Capital One

. Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies .

Posted 11/10/2026full-timeUnited StatesSenior💰 $209,000 - $262,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development, data engineering, and cloud-based solutions, with a strong focus on Python, SQL, and data pipeline design. Proven ability to lead large-scale data initiatives and mentor junior engineers while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Full-Stack DevelopmentData EngineeringPython ProgrammingSQL ProficiencyCloud Data Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLJavaScalaData Pipeline DesignData ModelingMachine LearningDistributed DataMicroservicesData Warehousing

Soft Skills

CollaborationMentoringCommunicationLeadership

Tools & Technologies

DatabricksSnowflakeAWSMicrosoft AzureGoogle CloudSparkEMRGlueAirflowMonte Carlo

Industry Keywords

Agile DevelopmentData SolutionsCloud-FirstData ObservabilityNoSQL Databases

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSnowflakeSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Influence developers, data analysts, and data scientists with expertise in 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 professionals
Collaborate with product managers and software engineers to deliver robust 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
Provide hands-on technical contribution while mentoring and elevating peers and junior engineers
Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake versus Databricks
Adhere to Capital One’s hybrid policy regarding required on-site presence at the designated office location

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 6 years of experience in application development (Internship experience does not apply)
At least 4 years of experience in distributed data
At least 4 years of experience with SQL
At least 4 years of experience programming with Python, Java, or Scala
At least 4 years of experience designing and developing data pipelines
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Preferred: Master’s Degree in Computer Science or a related field
Preferred: 8+ years of experience in data engineering
Preferred: 4+ years of data modeling experience
Preferred: 9+ years of experience in application development with proficiency in Python, SQL, Scala, or Java
Preferred: 5+ years of experience designing, deploying and operating data workloads in AWS, Microsoft Azure, or Google Cloud
Preferred: 5+ years of experience building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
Preferred: 3+ years of experience with data observability or data orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
Preferred: 5+ years of experience with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB
Preferred: 5+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift
Preferred: 3+ years of experience in an Agile development environment
Preferred: 3+ years of experience 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 who require them