Data Engineer

Capital One

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

Posted 9/21/2026full-timeUnited StatesMid-LevelSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering cloud-based data solutions, utilizing programming languages such as Python and SQL, and implementing data engineering best practices. Proven ability to lead data initiatives, mentor teams, and communicate complex technical concepts effectively.

Highest-signal resume keywords

Cloud-Based Data SolutionsData Pipeline DevelopmentPython ProgrammingSQL ProficiencyData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLJavaScalaData Pipeline DesignData ModelingDistributed Data SystemsNoSQL DatabasesRelational DatabasesData Engineering

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeSparkEMRGlueAgile DevelopmentOrchestration Tools

Certifications & Qualifications

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

Industry Keywords

Data EngineeringCloud ComputingMachine LearningLakehouse ArchitectureData Warehousing

Tech Stack

Tools & technologies

CloudJavaMicroservicesNoSQLPythonScalaSparkSQL

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
Build and support cloud-based data solutions using Python, Spark, relational and NoSQL databases, Databricks, and Snowflake
Stay current with data engineering trends, experiment with new technologies, participate in technology communities, and mentor data professionals
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 data engineering design patterns across 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
Mentor peers and junior engineers while contributing hands-on technical expertise
Lead large-scale 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
Preferred: Master's Degree in Computer Science or a related field
Preferred: 8+ years of experience in data engineering
Preferred: experience with data modeling, Python, SQL, Scala, Java, public cloud environments, EMR, Spark, Glue, Databricks, real-time or streaming pipelines, data observability, orchestration tools, 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