Lead Data Engineer, Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI

Capital One

Lead Data Engineer at Capital One focused on building data pipelines with emerging technologies. Responsible for driving transformation and enhancing data utilization in an Agile environment.

Posted 7/31/2026full-timeRichmond • New York, Virginia • 🇺🇸 United StatesSenior💰 $179,400 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in application development with a strong focus on Python, SQL, and cloud computing technologies. Proficient in big data technologies and data warehousing solutions, with a commitment to Agile practices and mentoring within the engineering community.

Highest-signal resume keywords

Python ProgrammingSQL DevelopmentCloud Computing (AWS, Azure, Google Cloud)Big Data Technologies (Spark, Hadoop, Kafka)Data Warehousing (Snowflake, Redshift)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentETL ToolsNoSQL Implementation (Mongo, Cassandra)Data ModelingUNIX/Linux ProficiencyReal-Time Data ProcessingDistributed ComputingAgile Engineering PracticesData Movement ToolsShell Scripting

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingPassion for Technology

Tools & Technologies

SnowflakeDatabricksAWS GlueGitHub CopilotClaude Code

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Data MovementDistributed ComputingCloud-Based SolutionsFinancial EmpowermentAgile Methodologies

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCassandraCloudETLHadoopKafkaLinuxMapReduceMySQLNoSQLOpen SourcePythonRDBMSShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
Optimize information systems for end-users and downstream application consumers by using sound data design practices
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
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, Spark, ETL tools, or AWS Glue (Preferred)
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (Preferred)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) (Preferred)
4+ year 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)
4+ years of experience with data modeling for data warehousing (Preferred)
2+ years of experience with Agile engineering practices (Preferred)
Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate software delivery (Preferred)

Benefits

Comp & perks

performance based incentive compensation
cash bonus(es)
long term incentives (LTI)
comprehensive health benefits
financial benefits