Capital One
Capital One
Capital One este o companie de servicii financiare și tehnologie financiară care oferă carduri de credit, împrumuturi auto, produse bancare și produse de economisire. Activitatea sa combină expertiza financiară cu tehnologia și instrumentele digitale pentru a îmbunătăți modul în care clienții își gestionează banii. Carierele din cadrul companiei se concentrează pe dezvoltarea unor soluții orientate către clienți, într-o forță de muncă diversă și incluzivă.

Senior Data Engineer - Capital One, McLean

Build secure, scalable cloud data platforms and pipelines for Capital One's financial services systems in an onsite McLean role. Use Python, Spark, SQL, Databricks, and Snowflake across modern data architecture and engineering initiatives.

Descriere

  • Partner with Agile teams to design, develop, test, implement, and maintain technical solutions
  • Guide developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
  • Work with Python, Spark, open-source relational and NoSQL databases, and cloud data warehouses such as Databricks and Snowflake
  • Track data engineering developments, evaluate emerging technologies, contribute to technical communities, and mentor data professionals
  • Work with product managers and software engineers to deliver cloud-first data capabilities
  • Independently design, build, and launch cloud data applications and solutions
  • Establish and apply data engineering patterns that improve code quality, maintainability, and reuse
  • Explain technical concepts and data results to internal and external stakeholders
  • Create scalable, resilient, and operationally efficient data platforms and pipelines
  • Apply encryption, fine-grained access controls, and other data security standards to support privacy compliance

Cerințe

  • Bachelor's degree or higher in computer science or a related quantitative discipline, such as statistics, economics, operations research, analytics, mathematics, or engineering
  • 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 experience designing and developing data pipelines
  • At least one year of experience modeling data and designing end-to-end solutions with relational and non-relational databases
  • Preferred: seven or more years of application development experience using Python, SQL, Scala, or Java
  • Preferred: four or more years designing, deploying, and operating data workloads in AWS, Microsoft Azure, or Google 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 MongoDB, Cassandra, or DynamoDB
  • Preferred: four or more years designing and supporting data warehouses such as Snowflake or Redshift
  • Preferred: two or more years working in an Agile development environment
  • Preferred: two or more years developing reusable, user-focused data products; Capital One will not sponsor new employment authorization applicants or provide immigration-related support for this position.
  • benefits

Beneficii

  • Performance-based incentive compensation may include cash bonuses and/or long-term incentives
  • A comprehensive and competitive package of health, financial, and other benefits supports overall well-being
  • Reasonable accommodation assistance is available for applicants with disabilities

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