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Capital One

Senior Lead Data Engineer – Java, Python, Scala, AWS

Capital One

Senior Lead Data Engineer building Java, Python, and Scala cloud data platforms for Capital One’s personalized marketing systems. Leading developers and delivering scalable omnichannel messaging technology.

Posted 9/10/2026full-timeNew York City • California, New York, Texas, Virginia • 🇺🇸 United StatesSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in full-stack development, leveraging programming languages such as Java, Python, and Scala, along with cloud computing platforms like AWS and Azure. Proven ability to lead teams in building scalable, data-driven solutions while applying Agile methodologies and mentoring peers.

Highest-signal resume keywords
Full-Stack DevelopmentCloud Computing (AWS, Azure, Google Cloud)Machine LearningBig Data TechnologiesAgile Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaPythonScalaSQLNoSQL (Mongo, Cassandra)Data Warehousing (Redshift, Snowflake)Distributed Data/Computing Tools (Hadoop, Spark, Kafka)UNIX/LinuxAI-Assisted Coding Tools (Claude Code, GitHub Copilot)Real-Time Data Applications
Soft Skills
CollaborationMentoringCommunication
Tools & Technologies
Agile ToolsOpen-Source RDBMSCloud-Based Data Warehousing ServicesAdtech Channels
Certifications & Qualifications
Bachelor’s Degree
Industry Keywords
Application DevelopmentMicroservicesOmnichannel MessagingStreaming Applications

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLPythonRDBMSScalaShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact
  • Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
  • Lead a team of developers experienced in machine learning, distributed microservices, and full-stack systems
  • Use Java, Scala, Python, open-source RDBMS and NoSQL databases, and cloud-based data warehousing services such as Redshift and Snowflake
  • Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
  • Collaborate with digital product managers to deliver robust cloud-based solutions that create powerful experiences for millions of Americans
  • Perform unit tests and conduct code reviews to ensure rigorously designed, elegant, and performance-tuned code
  • Build scalable platforms delivering omnichannel messages across owned and paid Adtech channels

Requirements

What you’ll need
  • Bachelor’s Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 1+ years of experience leveraging AI-assisted coding tools (Claude Code, GitHub Copilot) to accelerate software delivery
  • 9+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 5+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ years of experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices
  • 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
  • Equal opportunity employer committed to non-discrimination
  • Reasonable accommodations for applicants with disabilities
  • Drug-free workplace