Data Engineer

Capital One

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

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $179,400 - $245,600 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 scalable data solutions using Python, SQL, and cloud technologies, while effectively communicating technical concepts to diverse stakeholders. Proven ability to mentor team members and enforce best practices in data engineering.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Pipeline DesignCloud Data SolutionsData Engineering Best Practices

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 ModelingData Pipeline DevelopmentMachine LearningDistributed MicroservicesLakehouse ArchitectureRelational DatabasesNoSQL DatabasesData Security StandardsData Encryption

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

SparkDatabricksSnowflakeAgile DevelopmentData Orchestration Tools

Industry Keywords

Data EngineeringCloud EnvironmentsData WarehousingStreaming PipelinesData Observability

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 across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark, relational and NoSQL databases, Databricks, and Snowflake
Design, build, and deliver cloud data solutions and applications independently
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
Implement data security standards, encryption, and fine-grained access controls
Mentor members of the data community and participate in technology communities

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 end-to-end data solutions using relational and non-relational database systems
Preferred: experience with public cloud environments, distributed data/compute workloads, streaming pipelines, data observability or orchestration tools, NoSQL databases, data warehousing, Agile development, and reusable data products
New applicants must not require employer-sponsored employment authorization or immigration-related support

Benefits

Comp & perks

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