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Remote Hadoop Jobs

Browse vetted remote Hadoop positions — big data engineering, HDFS administration, and Hadoop-to-Spark or cloud migration roles at data-heavy organisations.

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Remote worldwide
All job types
Hadoop Engineer Big Data Platform Engineer Data Lake Architect Cloud Migration Specialist HDFS Administrator

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Jobs & Projects

Dremio
Full-time
English
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Dremio
staff
Full-time
English
spark hadoop distributed systems
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OpenAI
Full-time
English
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Pika

Posted 4 days ago

Research Scientist, Data

Full-time
English
python aws sql azure machine learning +5 more
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Snowflake

Posted 5 days ago

Senior Solution Engineer

senior
Full-time
English
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Snowflake
staff
Full-time
English
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Snowflake
senior
Full-time
English
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Dataiku
Full-time
English
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Dataiku
Full-time
English
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Dataiku
senior
Full-time
English
$150K – $200K / year
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Role guide

What to expect in remote Hadoop jobs

Hadoop remains in use at large enterprises managing existing big data infrastructure. Remote Hadoop jobs increasingly involve migration projects — moving legacy Hadoop workloads to Spark, Databricks, or cloud-native data platforms. Engineers who combine Hadoop knowledge with modern alternatives (Spark, Delta Lake) are most in demand.

What you'll work on

  • Manage and optimise existing HDFS clusters for large-scale data processing
  • Lead Hadoop-to-Spark or Hadoop-to-Databricks migration projects
  • Build MapReduce jobs for batch processing at petabyte scale
  • Integrate Hadoop data lakes with modern cloud analytics platforms

What companies look for

  • HDFS cluster management and performance tuning experience
  • MapReduce development and Hive/Pig query optimisation
  • Migration experience — Spark, Databricks, or cloud-native platform transition

Frequently asked questions

Are remote Hadoop jobs still available?

Yes, primarily at large enterprises with existing Hadoop infrastructure. Many positions focus on migration to Spark, Databricks, or cloud platforms — making Hadoop + modern stack knowledge the most valuable combination.

Should I learn Spark alongside Hadoop for remote jobs?

Yes. Most current Hadoop job listings either require or strongly prefer Spark experience — particularly for migration roles where engineers transition Hadoop workloads to modern platforms.

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