Senior Big Data Engineer

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Rackspace Technology

πŸ’΅ $116k-$198k
πŸ“Remote - Worldwide

Summary

Join our team as a Senior Big Data Engineer and leverage your expertise in developing batch processing systems using technologies like Hadoop, Oozie, Airflow, and GCP. This remote position requires strong communication and problem-solving skills. You will develop scalable code, manage data workflows, and implement DevOps best practices. The ideal candidate possesses extensive experience in cloud-based batch processing and a strong background in Java and Python. This role offers competitive compensation and benefits, with pay ranges varying by location.

Requirements

  • Bachelor's degree in Computer Science, software engineering or related field of study
  • Experience with managed cloud services and understanding of cloud-based batch processing systems are critical
  • Proficiency in Oozie, Airflow, Map Reduce, Java
  • Strong programming skills with Java (specifically Spark), Python, Pig, and SQL
  • Expertise in public cloud services, particularly in GCP
  • Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce
  • Familiarity with BigTable and Redis
  • Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes
  • Proven experience in engineering batch processing systems at scale
  • 5+ years of experience in customer-facing software/technology or consulting
  • 5+ years of experience with β€œon-premises to cloud” migrations or IT transformations
  • 5+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure
  • Proficiency in Oozie, Airflow, Map Reduce, Java

Responsibilities

  • Develop scalable and robust code for batch processing systems. This includes working with technologies like Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase
  • Develop, Manage and optimize data workflows using Oozie and Airflow within the Apache Hadoop ecosystem
  • Leverage GCP for scalable big data processing and storage solutions
  • Implementing automation/DevOps best practices for CI/CD, IaC, etc

Benefits

  • The anticipated starting pay range for Colorado is: $116,100 - $170,280
  • The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $123,600 - $181,280
  • The anticipated starting pay range for California, New York City and Washington is: $135,300 - $198,440
  • Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments
  • Remote work
This job is filled or no longer available