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Browse remote Hadoop positions — big data engineering, HDFS administration, and Hadoop-to-Spark or cloud migration roles at data-heavy organisations.
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regenero...
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Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regenero...
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The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across t...
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At Pika, we are pioneering the next generation of creative infrastructure built around real-time, multimodal generation and intelligent agentic platfo...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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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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