Capital One
Capital One
Capital One — несие карталарын, автонесиелерді, банктік қызметтерді және жинақ өнімдерін ұсынатын қаржылық қызметтер мен қаржылық технологиялар компаниясы. Оның жұмысы клиенттердің ақшаны басқару тәсілін жақсарту үшін қаржылық сараптаманы технологиялармен және цифрлық құралдармен ұштастырады. Компанияның мансаптық бағыттары әртүрлілік пен инклюзия қағидаттарын ұстанатын жұмыс күші құрамында клиентке бағдарланған шешімдер әзірлеуді қамтиды.

Data Engineer - Capital One (New York, Onsite)

Lead cross-cloud migration work for Capital One’s Travel Data team. Build Python, Spark, and Databricks pipelines that support personalized travel experiences.

Сипаттама

  • Partner with Agile teams to design, develop, test, implement, and support technical solutions
  • Guide developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
  • Work with Python, Spark, relational and NoSQL databases, and cloud warehouses such as Databricks and Snowflake
  • Track data engineering trends, evaluate emerging technologies, contribute to technology communities, and mentor data professionals
  • Work with product managers and software engineers to deliver cloud-first data capabilities
  • Independently design, build, and deliver cloud data applications and solutions
  • Establish and apply engineering patterns that improve code quality, maintainability, and reuse
  • Explain technical concepts and data results to internal and external stakeholders
  • Build scalable, resilient, and operationally efficient data pipelines and platforms
  • Apply data security practices including encryption and fine-grained access controls
  • Own important components of a large-scale cross-cloud migration for the Travel Data team
  • Consolidate multi-cloud data in a central lake using Python, Spark, and Databricks
  • Support real-time personalized recommendations, targeted travel offers, and intelligent user benefits

Талаптар

  • Bachelor’s degree or higher in computer science or a related quantitative discipline
  • At least four years of application development experience, excluding internships
  • At least two years of experience working with distributed data
  • At least two years of SQL experience
  • At least two years of experience with Python, Java, or Scala
  • At least two years of data pipeline design and development experience
  • At least one year of experience modeling data and designing end-to-end solutions with relational and non-relational databases
  • New applicants are not eligible for employer-sponsored immigration or work authorization support
  • Preferred: seven or more years of application development experience
  • Preferred: four or more years designing, deploying, and operating workloads in a public cloud
  • Preferred: four or more years building or supporting distributed data or compute workloads with EMR, Spark, Glue, or Databricks
  • Preferred: four or more years designing, implementing, and operating real-time or streaming data pipelines
  • Preferred: two or more years using data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster
  • Preferred: four or more years working with unstructured or semistructured data in NoSQL databases
  • Preferred: four or more years designing and supporting data warehouse solutions
  • Preferred: two or more years in an Agile development environment
  • Preferred: two or more years developing reusable, user-focused data products

Артықшылықтар

  • Performance-based incentive compensation may include cash bonuses and/or long-term incentives
  • Comprehensive, competitive health, financial, and other benefits designed to support overall well-being
  • Reasonable accommodations are available for applicants with disabilities

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