Senior Manager, Data Engineering

Capital One

Senior Manager leading data engineering teams building cloud-based data solutions at Capital One. Driving technology transformation through big data, distributed systems, and engineering leadership.

Posted 9/9/2026full-timeNew York City • New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack development, machine learning, and cloud computing, with a strong focus on team leadership and mentoring. Proficient in big data technologies and data warehousing solutions, ensuring high-quality code and performance optimization.

Highest-signal resume keywords

Full-Stack DevelopmentMachine LearningCloud Computing (AWS, Microsoft Azure, Google Cloud)Big Data TechnologiesPeople Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonSQLNoSQLData Warehousing (Redshift, Snowflake)Distributed Data/Computing Tools (MapReduce, Hadoop, Spark)UNIX/LinuxAgile Engineering PracticesUnit Testing

Soft Skills

CollaborationMentoringLeadership

Tools & Technologies

Open Source RDBMSCloud-Based Data Warehousing ServicesKafkaHiveEMR

Industry Keywords

Financial EmpowermentReal-Time DataStreaming Applications

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLOpen SourcePythonRDBMSScalaShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize 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 help millions of Americans achieve financial empowerment
Perform unit tests and conduct code reviews to ensure code is rigorously designed, elegantly coded, and tuned for performance

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 experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience
Preferred: Master's Degree
Preferred: 9+ years of experience in application development including Python, SQL, Scala, or Java
Preferred: 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
Preferred: 5+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
Preferred: 4+ years experience working on real-time data and streaming applications
Preferred: 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
Preferred: 4+ years of data warehousing experience (Redshift or Snowflake)
Preferred: 4+ years of experience with UNIX/Linux including basic commands and shell scripting
Preferred: 2+ years of experience with Agile engineering practices
Preferred: 6+ years of people management experience
No agencies please

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