Capital One

Senior Manager, Data Engineering – Enterprise Data

Capital One

full-time

Posted on:

Location Type: Office

Location: McLeanVirginiaUnited States

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Salary

💰 $209,000 - $262,400 per year

Job Level

About the role

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • 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 and Snowflake
  • 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 our 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)
  • At least 4 years of people management experience
  • Master's Degree
  • 9+ years of experience in application development including AbInitio, Python, SQL, Scala, or Java
  • 4+ years of experience in AbInitio development and administration
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year experience working on batch, 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
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
JavaScalaPythonSQLAbInitioNoSQLRedshiftSnowflakeHadoopSpark
Soft Skills
leadershipcollaborationmentoringcommunicationteam managementproblem-solvingadaptabilitypassion for technologycommunity engagementcode review
Certifications
Bachelor's DegreeMaster's Degree