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Senior Lead Data Engineer

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Capital One

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Location:
United States , McLean ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

209000.00 - 286200.00 USD / Year
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Job Description:

Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations). Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Job Responsibility:

  • Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations)
  • Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake and Databricks
  • 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:

  • Bachelor’s Degree
  • At least 6 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)

Nice to have:

  • Master's Degree
  • 4+ years of data warehousing experience (Snowflake, Databricks, Redshift)
  • 9+ years of experience in application development including Python, SQL, Scala, or Java
  • 2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (Iceberg, Delta adoption, Cortext)
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud)
  • 4+ year experience working on large-scale Data Platforms
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
What we offer:
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
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