Lead Data Engineer

Capital One

Lead Data Engineer building AI-powered risk management solutions at Capital One. Developing cloud, big-data, and full-stack systems for risk technology.

Posted 9/7/2026full-timeRichmond • Massachusetts, Virginia • 🇺🇸 United StatesSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack application development, leveraging machine learning and cloud technologies to build AI-powered risk management solutions. Proficient in big data technologies and cloud computing, with a strong focus on data pipelines and real-time data applications.

Highest-signal resume keywords

Full-Stack DevelopmentMachine LearningCloud Computing (AWS, Microsoft Azure, Google Cloud)Big Data Technologies (Spark, Hadoop, Kafka)Data Warehousing (Redshift, Snowflake)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonSQLNoSQLUNIX/LinuxAgile Engineering PracticesData PipelinesDistributed MicroservicesUnit Testing

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

RedshiftSnowflakeSparkMapReduceHadoopHiveEMRKafkaMongoDBCassandra

Industry Keywords

Risk ManagementFinancial EmpowermentCloud-Based SolutionsInteractive AI Tooling

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLPythonScalaShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Design, develop, test, implement, and support technical solutions across Agile teams
Build and deploy proprietary AI-powered risk management solutions with the GRC team and partners across Capital One
Develop full-stack systems using machine learning, distributed microservices, and cloud technologies
Use Java, Scala, Python, open-source relational and NoSQL databases, and cloud data warehouses such as Redshift and Snowflake
Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment
Perform unit tests and conduct code reviews to ensure rigorous design, quality, and performance
Stay current with technology trends, experiment with new technologies, participate in technology communities, and mentor engineers

Requirements

What you’ll need

Bachelor’s Degree
At least 4 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)
No employer sponsorship or immigration-related support is available for employment authorization
Preferred: 7+ years of experience with data pipelines including Python, SQL, Scala, or Java
Preferred: 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
Preferred: 4+ years of experience with distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL)
Preferred: 4+ years of 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
Experience leveraging interactive AI tooling beyond basic code completion

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities