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Remote Hadoop Jobs (NOW HIRING)

Hadoop Developer - Remote ARC Group has an immediate opportunity for a Hadoop Developer! This position is 100% remote. This is starting out as a contract position running through December 2026 with ...

Jacksonville, FL/Remote *FLSA Classification: Computer Professional Exempt *Work Authorization Status: USC or GC Holder Summary: A Hadoop developer is responsible for the design, development and ...

Hadoop Admin Location: TX/FL Skills : * Atlas/ Cloudera CDH/ UNIX/ Hadoop admin background * Data modeling like designing and implementation of data based on recognized standards. * Software ...

Big Data/ Hadoop Architect

$65.25 - $84/hr

Job Title: - Big Data/ Hadoop Architect Duration :- 8+ Months Location :- Remote The selected candidate will work directly with the team in researching, building, and implementing the computer ...

Java Developer (Remote Permanent Opportunity)

$52.25 - $67.50/hr

THIS IS A 100% REMOTE ROLE. WE ARE OPEN TO MID LEVEL TO ARCHITECT LEVEL CANDIDATES About NTENT We ... Hadoop ecosystem (HDFS, Hadoop, Hive) * Spark * Samza * Kafka * Aerospike * Lucene NLP (Solr or ...

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Remote Hadoop information

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How much do remote hadoop jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote hadoop in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the remote Hadoop position, and why are they important?

To thrive as a Remote Hadoop professional, you need a strong background in big data management, distributed computing, and proficiency in Hadoop ecosystem tools such as HDFS, MapReduce, Hive, and Spark. Familiarity with cloud platforms (like AWS EMR or Azure HDInsight), scripting languages (like Python or Scala), and certifications such as Cloudera Certified Associate (CCA) or Hortonworks are often highly valued. Excellent problem-solving abilities, self-motivation, and effective virtual communication skills are essential for remote collaboration and troubleshooting. These skills enable professionals to efficiently manage large-scale data processing, ensure system stability, and contribute to distributed teams from a remote environment.

What is a remote Hadoop?

A Remote Hadoop job involves working with Hadoop, a big data processing framework, from a remote location. Professionals in this role manage, maintain, and optimize Hadoop ecosystems, including HDFS, MapReduce, Hive, and Spark. Responsibilities may include data processing, performance tuning, and troubleshooting. These roles are common in industries that handle large-scale data processing, such as finance, healthcare, and e-commerce. Remote Hadoop jobs require expertise in distributed computing, programming (Java, Python, or Scala), and cloud platforms like AWS or Azure.

What does a typical workday look like for someone in a remote Hadoop position?

A typical workday for a Remote Hadoop professional involves maintaining, optimizing, and monitoring Hadoop clusters, as well as developing and deploying data processing workflows using Hadoop ecosystem tools. You’ll likely participate in daily stand-up meetings with cross-functional teams, troubleshoot data ingestion issues, and collaborate with data engineers and analysts to meet project goals. Much of the communication happens through video calls, chat platforms, and project management tools, making effective virtual collaboration a key part of the role. Task priorities often shift based on data volume, system performance needs, and business requirements, so adaptability and proactive problem-solving are important for success in this remote position.

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Infographic showing various Remote Hadoop job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 1% Part Time, and 17% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Job description

Job Title: Hadoop Developer
Location: Remote
Job Type: Full Time
Job Description:
Position Description:
  • Candidate should be able to develop code/logic on Cloudera platform to refine and aggregate the data based on the functional specifications provided by business. Candidate should be able to automate the daily incremental data refresh process in Cloudera/Hive tables using Oozie

Skills Required:
  • Minimum 2 years of development experience on Hadoop platform, preferably with Cloudera

Skills Preferred:
  • Good experience with tools such as hive, spark, pyspark, python, oozie, HQL, Impala, workflow related oozie

Experience Required:
  • Preferably 3-5 years

Experience Preferred:
  • 2 years