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Remote Hadoop Jobs (NOW HIRING)

ARC Group

Sr. Hadoop Developer

Jacksonville, FL · Remote

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 ...

Ruri Software Technologies LLC

Sr.Hadoop Developer

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 ...

Ruri Software Technologies LLC

Hadoop Admin

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 ...

Ruri Software Technologies LLC

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 ...

NTENT

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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How much do remote hadoop jobs pay per hour?

As of Jul 25, 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 job?

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.

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in big data management, requiring skills in cluster setup, maintenance, and troubleshooting. It offers opportunities in data-driven industries and often involves certifications like Cloudera or Hortonworks. The role typically involves working with tools such as Hadoop Distributed File System (HDFS) and MapReduce, with demand driven by the growth of data analytics.

How can I make 2000 a week working from home?

A remote Hadoop professional can increase earnings by gaining advanced skills, certifications, and experience to command higher rates or salaries. Freelance or consulting work in data engineering, big data projects, or specialized analytics can also help reach that income level, often requiring strong knowledge of tools like Spark, Hive, and cloud platforms. Consistent high-quality work and building a strong reputation are essential for earning $2000 weekly from home.

How to make 1000 a week remotely?

A remote Hadoop professional can earn $1,000 or more weekly by working on data processing projects, consulting, or freelance tasks that leverage Hadoop skills. Increasing income may involve gaining certifications, expanding expertise in related big data tools, and securing high-paying contracts or full-time roles with competitive salaries. Consistent remote work and building a strong portfolio can also help achieve this income level.

How can I make $100,000 a year working from home?

A remote Hadoop professional can reach a $100,000 annual salary by gaining advanced skills in big data processing, obtaining relevant certifications like Cloudera or Hortonworks, and gaining several years of experience. Working in industries such as finance, healthcare, or technology, and demonstrating expertise in distributed computing and data management can also increase earning potential. Salary levels depend on experience, location, and the complexity of projects handled.
More about Remote Hadoop jobs
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Remote Hadoop jobs near you
Infographic showing various Remote Hadoop job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Hadoop Developer

Texas State Library and Archives Commision

Remote

Full-time

Posted 28 days ago

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

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