Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) at Capital One | McLean | Rezi

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) at Capital One

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

Capital One · McLean

Today

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

Capital One · McLean

15 hours ago
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About the Role

Capital One is seeking passionate Data Engineers to build scalable platforms and deliver hyper-personalized messages and experiences. You will be at the forefront of driving a major transformation within Capital One, solving complex business problems using emerging technologies.

Responsibilities

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies.
  • Work with a team of developers with 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 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 ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.

Requirements

  • 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)

Skills

  • Python
  • AWS
  • Spark
  • Kafka
  • SQL
  • Snowflake
  • Databricks
  • GenAI
  • ETL tools
  • AWS Glue
  • MapReduce
  • Hadoop
  • Hive
  • EMR
  • MySQL
  • NoSQL implementation
  • Mongo
  • Cassandra
  • Redshift
  • UNIX/Linux
  • shell scripting
  • data modeling
  • Agile engineering practices
  • interactive AI tooling (Claude Code, GitHub Copilot)

Location

  • McLean, VA
  • New York, NY
  • Richmond, VA

Work Type

  • full-time

Experience Level

  • Lead
  • 7+ years of experience in application development
  • 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, 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
  • 4+ years of experience with data modeling for data warehousing
  • 2+ years of experience with Agile engineering practices

Education Level

  • Bachelor's Degree
  • Master's Degree

Salary/Compensations

  • McLean, VA: $197,300 - $225,100
  • New York, NY: $215,200 - $245,600
  • Richmond, VA: $179,400 - $204,700

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

About the Company

  • Capital One Financial is made up of several different entities.

Equal Opportunity

  • Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
  • Capital One promotes a drug-free workplace.
  • Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.