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4 часа назад

Senior Data Engineer (PySpark)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (PySpark): Building and modernizing large-scale cloud data platforms, pipelines, and lakehouse solutions with an accent on Spark-based processing, Cloudera, Apache Iceberg, and Airflow. Focus on designing scalable ETL/ELT workflows, optimizing structured and unstructured data processing, and supporting enterprise cloud migration programs.

Location: 100% remote within the United States

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Build and maintain large-scale data pipelines and Spark-based data processing solutions.
  • Develop data workflows on Cloudera Data Platform using Apache Airflow.
  • Design and manage Apache Iceberg tables, data lakes, and lakehouse architectures.
  • Implement ETL/ELT processes for structured and unstructured datasets.
  • Support enterprise cloud migration and modernization initiatives.
  • Apply data modeling, performance tuning, troubleshooting, and DevOps practices.

Requirements

  • Must be located in the United States and authorized to work there.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 10+ years of IT experience, including 6+ years in data engineering and big data development.
  • Strong hands-on experience with PySpark, Spark, Cloudera Data Platform, Apache Iceberg, Apache Airflow, SQL, and data modeling.
  • Experience with ETL/ELT development, Git, CI/CD pipelines, DevOps practices, and large-scale datasets.
  • Strong analytical, troubleshooting, communication, and collaboration skills.

Nice to have

  • AWS services including S3, Glue, Lambda, ECS/EKS, EMR, RDS, IAM, and CloudWatch.
  • Cloud-native data lake and lakehouse development, data partitioning, query optimization, and performance tuning.
  • Kafka, event-driven processing, Java or Python application development, and data governance solutions.
  • Healthcare, Medicaid, claims processing, or insurance industry experience.
  • Agile delivery experience and AWS or Cloudera certification.

Culture & Benefits

  • Contracted position with an established technology consulting and software development organization.
  • Opportunity to work on enterprise cloud, AI, data, and modernization programs.
  • Career growth potential within a well-established organization.
  • Equal employment opportunity workplace.

Hiring process

  • Submit a resume for consideration.
  • U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petitions cannot be sponsored for this position.

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