Capital One

Capital One

Lead Data Engineer-IC

McLean, VA · Senior · Part-time

No sponsorship$197k-$225kDetected 111 days ago
PythonJavaScalaBashFull-Stack DevelopmentSQLNoSQLMySQLMongoDBCassandraSnowflakeRedshiftAWSGCPAzureLinuxKafkaMachine LearningSparkData EngineeringCustomer SupportEHR/EMRMentoringHadoop

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

96 transfer filings in the last year, covering 96 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
  • The minimum and maximum full-time annual salaries for this role are listed below, by location.

Responsibilities

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • 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 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)

Nice to have

  • 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+ 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

Skills

  • Lead Data Engineer-IC

Compensation

  • The minimum and maximum full-time annual salaries for this role are listed below, by location.

Benefits

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

Company info

  • 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.

Visa & Work Authorization

  • At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or ot

This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.