Data Engineer

Capital One

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

Posted 10/5/2026full-timeUnited StatesMid-LevelSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and delivering cloud data solutions, with a strong focus on building scalable data pipelines and platforms. Proficient in collaborating across Agile teams and mentoring peers to enhance technical skills and drive transformative data initiatives.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentCloud Data SolutionsSQL ProficiencyData 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 DevelopmentData EngineeringMachine LearningDistributed MicroservicesRelational DatabasesNoSQL DatabasesData WarehousingData ObservabilityData OrchestrationStreaming Pipelines

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeCloud-Based Data WarehousingAgile Development

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science (Preferred)

Industry Keywords

Lakehouse ArchitectureEnd-to-End Data SolutionsCross-Cloud MigrationReusable Data Products

Tech Stack

Tools & technologies

CloudJavaMicroservicesNoSQLPythonScalaSparkSQL

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, Spark, relational and NoSQL databases, Databricks, Snowflake, and cloud-based data warehousing platforms
Build an end-to-end travel data platform and lead a large-scale cross-cloud migration into a central data lake
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 stakeholders
Design and build scalable, resilient, and operationally efficient data pipelines and platforms
Mentor peers and junior engineers and elevate team skills
Lead transformative data initiatives, make architectural decisions, and evaluate 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 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
Master's Degree in Computer Science or a related field (preferred)
Preferred experience qualifications including cloud environments, distributed data workloads, streaming pipelines, data observability/orchestration, NoSQL databases, data warehousing, Agile development, and reusable data products
Capital One will consider sponsoring a new qualified applicant for employment authorization 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