Lead Data Engineer, Python, PySpark, AWS

Capital One

Lead Data Engineer at Capital One collaborating with Agile teams to drive technological transformation. Utilizing cloud and big data technologies to empower financial solutions for millions of Americans.

Posted 7/21/2026full-timeMcLean • Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $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, Python, and Scala, along with cloud computing platforms like AWS and Azure. Proven ability to collaborate in Agile teams, implement big data technologies, and deliver robust cloud-based solutions.

Highest-signal resume keywords

Full-Stack DevelopmentCloud Computing (AWS, Azure, Google Cloud)Big Data Technologies (Hadoop, Spark, Kafka)NoSQL Implementation (Mongo, Cassandra)Agile Engineering Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonScalaSQLNoSQLData Warehousing (Redshift, Snowflake)Distributed Computing (MapReduce, EMR)UNIX/LinuxMachine LearningReal-Time Data Processing

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingAdaptability

Tools & Technologies

AWSMicrosoft AzureGoogle CloudHadoopSparkKafkaRedshiftSnowflakeMongoDBCassandra

Industry Keywords

AgileCloud-Based SolutionsFinancial EmpowermentInteractive AI ToolingStreaming 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
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, Scala, or Java (Preferred Qualification)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year 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
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.

Benefits

Comp & perks

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.