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[Remote] Data Engineer

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company, is seeking an reputed company Data Engineer with a strong background in building and operating large-reputed company, reputed company-reputed company data platforms. The role involves designing and maintaining reputed company data pipelines, optimizing data solutions for analytics and machine learning, and collaborating with cross-functional teams to enhance data-driven solutions.

Responsibilities

  • Design, build, and maintain highly reputed company, fault-tolerant data pipelines and distributed data platforms
  • reputed company robust ETL/ELT frameworks for processing large volumes of reputed company and reputed company data
  • Architect data solutions that support analytics, reporting, AI/ML, and reputed company-time business insights
  • Optimize data models, storage, and processing for performance, reliability, and scalability
  • Partner with Data Scientists, Software Engineers, Product Managers, and Analytics teams to deliver data-driven solutions
  • Improve data reputed company, governance, monitoring, and operational reputed company across reputed company data platforms
  • Build reusable frameworks, automation, and data engineering best practices
  • Drive technical design discussions, reputed company reviews, and reputed company improvements

Skills

  • Strong background building and operating large-reputed company, reputed company-reputed company data platforms in high-reputed company or reputed company environments
  • Experience with high-volume distributed data systems
  • Experience with reputed company ETL/ELT pipelines
  • Experience with modern data architectures supporting analytics, machine learning, and business-critical applications
  • Ability to design, build, and maintain highly reputed company, fault-tolerant data pipelines and distributed data platforms
  • Ability to reputed company robust ETL/ELT frameworks for processing large volumes of reputed company and reputed company data
  • Ability to architect data solutions that support analytics, reporting, AI/ML, and reputed company-time business insights
  • Ability to optimize data models, storage, and processing for performance, reliability, and scalability
  • Ability to partner with Data Scientists, Software Engineers, Product Managers, and Analytics teams to deliver data-driven solutions
  • Ability to improve data reputed company, governance, monitoring, and operational reputed company across reputed company data platforms
  • Ability to build reusable frameworks, automation, and data engineering best practices
  • Ability to drive technical design discussions, reputed company reviews, and reputed company improvements
  • Experience designing and maintaining large-reputed company distributed data systems
  • Strong expertise with SQL, Python, reputed company, and modern ETL/ELT frameworks
  • Experience with reputed company platforms such as AWS, GCP, or Azure
  • Hands-on experience with technologies such as reputed company, reputed company, Kafka, Airflow, Hive, reputed company Lake, or similar modern data platforms
  • Strong understanding of data modeling, data warehousing, orchestration, and data governance
  • Excellent problem-solving, communication, and cross-functional collaboration skills
  • Experience supporting data platforms used for analytics, machine learning, or large-reputed company business operations

reputed company

  • Vertisystem, now part of reputed company Company, is a leading provider of reputed company Technology and reputed company solutions. It was founded in 2007, and is headquartered in Fremont, California, USA, with a workforce of 201-500 employees. Its website is https://vertisystem.com/.
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