Lead Data Engineer

Capital One

Lead Data Engineer building cloud data solutions at Capital One, a financial services company. Developing scalable data systems that support customer financial empowerment.

Posted 8/31/2026full-timeWilmington • 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 distributed systems, with a commitment to Agile practices and mentoring within engineering teams.

Highest-signal resume keywords

Application DevelopmentCloud Computing (AWS, Microsoft Azure, Google Cloud)Big Data TechnologiesDistributed Data/Computing Tools (MapReduce, Hadoop, Spark)NoSQL Implementation (Mongo, Cassandra)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLJavaScalaNoSQL DatabasesData Warehousing (Redshift, Snowflake)UNIX/LinuxAgile Engineering PracticesMachine LearningPerformance Tuning

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

RedshiftSnowflakeHadoopKafkaSparkEMRHiveInteractive AI Tooling

Certifications & Qualifications

Bachelor’s Degree

Industry Keywords

Cloud-Based SolutionsFinancial EmpowermentReal-Time DataStreaming Applications

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLPythonRDBMSScalaShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Collaborate across 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, Redshift, and Snowflake
Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineering community members
Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans’ financial empowerment
Perform unit tests and conduct code reviews to ensure rigorous design, elegant coding, and performance tuning

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
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 beyond basic code completion
Applicants must not require employer immigration support or sponsorship 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 with disabilities