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Hadoop Big Data Developer

86 000 - 103 000$
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
Hadoop Big Data Developer (Hadoop/Apache Spark): Building and operating large-scale data processing pipelines and analytics platforms for structured and unstructured data with an accent on distributed data processing, streaming, and production reliability. Focus on ingesting and transforming massive datasets, designing fault-tolerant architectures, and supporting enterprise analytics, machine learning, and reporting workloads.

Location: 100% remote within the United States

Salary: $86,000–$103,000 annually

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

  • Design, build, and operate large-scale data processing pipelines on Hadoop and related big-data platforms.
  • Ingest, transform, and analyze massive volumes of structured and unstructured data.
  • Develop production workloads supporting enterprise analytics, machine learning, and reporting.
  • Build streaming data solutions using platforms such as Kafka, Spark Streaming, or Flink.
  • Implement workflow orchestration with tools such as Airflow or Oozie.
  • Troubleshoot, debug, document, and optimize data platforms for reliability, performance, and cost efficiency.

Requirements

  • 5+ years of professional experience designing and operating big-data pipelines on Hadoop; the posting indicates 6+ years of overall experience.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Strong production experience with Apache Spark using Scala, Python, or Java.
  • Hands-on expertise with Hive, HDFS, Sqoop, HBase, SQL, relational databases, and NoSQL data stores.
  • Understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.
  • Applicants must be eligible to work in the United States as U.S. citizens, Green Card holders, EAD holders, or H-1B transfer candidates. New H-1B visa petitions cannot be sponsored.

Nice to have

  • Experience running Hadoop on AWS EMR, Azure HDInsight, or Databricks.
  • Familiarity with Delta, Iceberg, or Hudi lakehouse formats.
  • Exposure to Apache Atlas or Collibra data governance tooling.
  • Experience with Kubernetes-based data platforms, including Spark-on-Kubernetes or Trino.
  • Experience with CI/CD and infrastructure-as-code for data engineering workflows.

Culture & Benefits

  • Full-time direct W-2 employment.
  • Remote work arrangement within the United States.
  • Career growth opportunities within an established technology organization.
  • Equal employment opportunity and a workplace free from discrimination and harassment.

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