Capital One

Data Engineer 5, Marketing and Messaging (Enterprise Platform Technology)

Capital One
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27 days ago
Chicago, IL, USA or McLean, VA, USAStaff+

Base Salary

$230k - $262k/yr

Responsibilities

  • Design, build, test, implement, and support full-stack technical solutions and cloud-first data applications.
  • Design and operate scalable, resilient data pipelines and platforms for increasing data volume and business demands.
  • Architect and enforce common data engineering patterns for code quality, maintainability, and reuse.
  • Lead large-scale data initiatives end to end, including architectural decisions and platform evaluations such as Snowflake versus Databricks.
  • Collaborate with product managers, software engineers, data analysts, and data scientists to deliver data solutions.
  • Communicate technical concepts and data outcomes to internal and external stakeholders.
  • Mentor junior engineers and elevate the skills of peers and the broader data engineering community.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
  • At least 6 years of application development experience, excluding internship experience.
  • At least 4 years of experience in distributed data, SQL, programming with Python, Java, or Scala, and designing and developing data pipelines.
  • At least 2 years of experience in data modeling and end-to-end data solutions using relational and non-relational databases.
  • Preferred: Master’s degree in Computer Science or a related field.
  • Preferred: 8+ years of data engineering, 4+ years of data modeling, and 9+ years of application development experience.
  • Preferred: 5+ years designing, deploying, and operating workloads in AWS, Microsoft Azure, or Google Cloud.
  • Preferred: Experience with EMR, Spark, Glue, Databricks, real-time or streaming pipelines, data observability, orchestration, NoSQL, and data warehousing.
  • Preferred: Experience with Monte Carlo, Splunk, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Snowflake, or Redshift.
  • Preferred: Experience in Agile development and developing reusable user-centric data products.

Benefits

  • Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment and management status.
  • The position is eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives.
  • The role is available in Chicago, Illinois; McLean, Virginia; and Riverwoods, Illinois, with location-specific annual salary ranges.
  • Applications are expected to remain open for at least 5 business days.

Tech Stack

Amazon DynamoDBAmazon RedshiftApache AirflowApache CassandraApache SparkAWSAzureDatabricksGoogle CloudJavaMongoDBPythonScalaSnowflakeSplunkSQL

Categories

Data Engineering
Capital One

About Capital One

10,000+ employees

Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.

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