Lead Data Engineer – Risk Tech, Python, AWS

Capital One

Lead Data Engineer focusing on risk technology at Capital One. Collaborating with Agile teams to create innovative cloud-based solutions.

Posted 7/21/2026full-timeMcLean • 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 development, leveraging programming languages such as Java, Scala, and Python, along with cloud computing platforms like AWS and Azure. Proficient in big data technologies and data warehousing solutions, with a strong focus on collaboration and Agile practices.

Highest-signal resume keywords

Full-Stack DevelopmentCloud Computing (AWS, Azure, Google Cloud)Big Data Technologies (MapReduce, Spark, Kafka)Data Warehousing (Snowflake, Redshift)Agile Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonSQLGolangNoSQL (DynamoDB)RDBMS (PostgreSQL)Distributed ComputingData WarehousingUNIX/Linux

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingAdaptability

Tools & Technologies

AWSMicrosoft AzureGoogle CloudRedshiftSnowflakeMapReduceFlinkEMRKafkaSpark

Industry Keywords

AgileMachine LearningMicroservicesReal-Time DataStreaming Applications

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCloudDynamoDBGoJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLOpen SourcePostgresPythonRDBMSScalaShell 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
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

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 experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
7+ years of experience in application development including Python, SQL, Golang, Java or Scala (Preferred)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred)
4+ years experience with Distributed data/computing tools (MapReduce, Flink, EMR, Kafka, Spark, or MySQL) (Preferred)
4+ year experience working on real-time data and streaming applications (Preferred)
4+ years of experience with SQL implementation(PostgreSQL) and NoSQL implementation (DynamoDB) (Preferred)
4+ years of data warehousing experience (Snowflake or Redshift) (Preferred)
4+ years of experience with UNIX/Linux including basic commands and shell scripting (Preferred)
2+ years of experience with Agile engineering practices (Preferred)
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion (Preferred)
Must be authorized to work in the U.S. without sponsorship.

Benefits

Comp & perks

Health insurance
Provided Health Benefits
401(k) matching
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive benefits that support your total well-being