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Hadoop Solutions Developer (Big Data)

100 000 - 150 000$
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

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TL;DR
Hadoop Solutions Developer (Big Data): Building and operating large-scale Hadoop data processing pipelines and analytics platforms with an accent on Spark-based ETL/ELT, streaming ingestion, and distributed data storage. Focus on tuning Spark and MapReduce workloads, designing reliable lakehouse layouts, automating orchestration, and implementing monitoring, governance, and data quality controls.

Location: 100% remote within the United States

Salary: $100,000–$150,000 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, develop, and operate end-to-end Hadoop pipelines using relational, file-based, streaming, and API-driven data sources.
  • Build ETL/ELT workflows with Spark, Hive, Pig, and Sqoop, ensuring data quality, recoverability, and reliable error handling.
  • Develop high-throughput streaming pipelines with Kafka, Spark Streaming, or Flink.
  • Optimize Spark and MapReduce jobs, data models, storage layouts, and lakehouse formats for performance and cost efficiency.
  • Implement governance, lineage, quality controls, monitoring, alerting, logging, and operational runbooks.
  • Partner with data scientists and analysts, review existing architectures, and mentor junior engineers.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • At least 5 years of professional experience designing and operating Hadoop big-data pipelines.
  • Production expertise with Apache Spark using Scala, Python, or Java, plus strong SQL skills.
  • Experience with Hive, HDFS, Sqoop, HBase, Kafka, Spark Streaming, or Flink.
  • Experience with workflow orchestration tools such as Airflow or Oozie and relational and NoSQL data stores.
  • Understanding of distributed systems, strong Python or Shell scripting, troubleshooting, debugging, and documentation skills.

Nice to have

  • Experience with AWS EMR, Azure HDInsight, or Databricks.
  • Familiarity with Delta, Iceberg, or Hudi lakehouse formats.
  • Exposure to Apache Atlas or Collibra, Kubernetes-based data platforms, CI/CD, or infrastructure as code.

Culture & Benefits

  • Full-time direct W2 employment.
  • Career growth opportunities within an established organization.
  • Opportunity to work on cloud, AI, data, and enterprise solutions.

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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