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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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Posted 2 months ago
Manager, Forward Deployed Engineering
CSQ227R28 As a Manager (Forward Deployed Engineering), you will hire & manage Big Data Engineers / Architects and participate in technical and des...
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As a fully async team spread across nine time zones, we believe great engineers don't need to be in the same room to build something reliable together...
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The pipelines you build will move the training data behind labeling workflows used by hundreds of annotators every day. We publish internally on data...
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We're building the next generation of knowledge infrastructure for teams whose data lives across a dozen incompatible schemas nobody wants to touch. E...
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Spark, Hadoop, and a graph-based ontology engine are what our knowledge graph runs on, but duplicate entities still slip through and quietly degrade q...
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Posted 5 months ago
Big Data Engineer — Hadoop & Spark Migration
We run a large Hadoop cluster that's expensive, slow to maintain, and blocking our data team. We want to migrate our batch processing workloads to Dat...
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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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