Data Engineer

Capital One

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

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $209,000 - $262,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud data solutions using Python, SQL, and distributed data technologies. Proven ability to lead data engineering initiatives, mentor team members, and communicate complex technical concepts effectively.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline DevelopmentCloud Data SolutionsData Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Application DevelopmentDistributed Data EngineeringData Pipeline DesignData Warehousing SolutionsMachine LearningMicroservices ArchitectureRelational DatabasesNoSQL DatabasesData Engineering Design PatternsReal-Time Data Processing

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeAWSMicrosoft AzureGoogle CloudSparkEMRGlue

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science

Industry Keywords

Agile DevelopmentData ObservabilityData OrchestrationUser-Centric Data Products

Tech Stack

Tools & technologies

AWSAzureCloudJavaMicroservicesNoSQLPythonScalaSparkSQL

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 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 reusable data engineering design patterns
Communicate technical concepts and data outcomes to internal and external stakeholders
Design and build scalable, resilient, and operationally efficient data pipelines and platforms
Mentor peers and junior engineers while contributing hands-on technical innovation
Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake and Databricks

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 programming experience 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
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 application development experience with proficiency in Python, SQL, Scala, or Java
Preferred: 5+ years designing, deploying, and operating data workloads in AWS, Microsoft Azure, or Google Cloud
Preferred: 5+ years building or supporting distributed data or compute workloads using EMR, Spark, Glue, or Databricks
Preferred: 5+ years designing, implementing, and operating real-time or streaming data pipelines
Preferred: 3+ years working on data observability or data orchestration tools
Preferred: 5+ years working with unstructured or semistructured data using NoSQL databases
Preferred: 5+ years designing and supporting data warehousing solutions
Preferred: 3+ years working in an Agile development environment
Preferred: 3+ years 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