Lead Data Engineer

Capital One

Lead Data Engineer building cloud data platforms at Capital One, a financial services company. Developing scalable pipelines, streaming systems, and data warehouse solutions.

Posted 8/31/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in application development, big data technologies, and cloud computing, with a strong focus on building and supporting robust data pipelines and cloud-based solutions. Proficient in Agile practices and mentoring within engineering teams to enhance productivity and code quality.

Highest-signal resume keywords

Application DevelopmentBig Data TechnologiesCloud Computing (AWS, Microsoft Azure, Google Cloud)Data Pipelines (Python, SQL, Scala, Java)Distributed Data/Computing Tools (Spark, MapReduce, Hadoop)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonSQLNoSQL Implementation (Mongo, Cassandra)Data Warehousing (Redshift, Snowflake)UNIX/LinuxAgile Engineering PracticesReal-Time Data ApplicationsInteractive AI Tooling

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

Open-Source RDBMSCloud-Based Data WarehousingKafkaGurobiEMR

Industry Keywords

Financial EmpowermentData QualityCode ReviewsTechnology TrendsStreaming Applications

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLPythonRDBMSScalaShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Work with developers experienced in machine learning, distributed microservices, and full-stack systems
Use Java, Scala, Python, open-source RDBMS and NoSQL databases, and cloud-based data warehousing services such as Redshift and Snowflake
Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment experiences
Perform unit tests and conduct code reviews to ensure rigorous design, code quality, and 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 with data pipelines including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL)
4+ years 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
Applicants must not require employer immigration support for employment authorization

Benefits

Comp & perks

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