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

Capital One

Lead Data Engineer at Capital One focusing on cloud solutions, data processing, and team collaboration. Engage in building scalable data platforms and delivering omni-channel customer experiences.

Posted 7/31/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $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 ToolsData ModelingNoSQL ImplementationReal-Time Data ProcessingDistributed ComputingUNIX/LinuxShell ScriptingAgile Engineering PracticesData Movement Tools

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingPassion for Technology

Tools & Technologies

SnowflakeDatabricksAWS GlueClaude CodeGitHub Copilot

Certifications & Qualifications

Bachelor’s DegreeMaster's Degree (Preferred)

Industry Keywords

Data WarehousingCloud-Based SolutionsAgile MethodologiesData Design PracticesFinancial Empowerment

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 (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)
Master's Degree (Preferred)
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, which may include cash bonus(es) and/or long term incentives (LTI).
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.