10 live roles · checked 2 h ago

Data engineering jobs at Capital One.

Fetched from Capital One's own careers portal, every six hours, kept for 14 days at most. Every role below comes with the skills it asks for and a plan built from D8LooP's drills.

Capital One · capitalone.wd12.myworkdayjobs.com · checked today

Data Engineer 4

McLean, VAMid4+ yrsData Engineerposted 1 d ago

Skills, with evidence

  • Data modelling
    At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systemsmust have
  • Python
    At least 2 years of experience with one programming language (Python, Java, or Scala)must have
  • SQL
    At least 2 years of experience with SQLmust have
  • Spark
    4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)must have
  • Warehousing
    4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)must have
  • AWS
    4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)not practised here
  • Airflow / orchestration
    2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • Governance & security
    Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulationsnot practised here
  • Java
    At least 2 years of experience with one programming language (Python, Java, or Scala)not practised here
  • Scala
    At least 2 years of experience with one programming language (Python, Java, or Scala)not practised here
  • Data quality
    2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
  • Streaming
    4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
  • Azure
    4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)not practised here
  • GCP
    4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)not practised here

Your plan

  1. SQL

    drills at the Mid level

  2. Python

    drills at the Mid level

  3. Modelling

    drills at the Mid level

  4. Pipelines

    drills at the Mid level

  5. Spark

    drills at the Mid level

The full plan, drill by drill, is on the job page.

leaves in 12 dremoved the moment Capital One closes it