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Remote Hadoop Jobs (NOW HIRING)

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... Experience with Hadoop ecosystem (Hive, Pig, Oozie) * Experience with Python * Experience with Data ...

ACI Infotech

Big Data Engineer

$57 - $75.50/hr

We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will ...

Anagh Technologies, Inc.

Solution Architect

$64.50 - $85/hr

Client: Healthcare client Remote- CST 12+ Month Contract UI Architect Qualifications 5+ years of ... AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQL Proven ability to ...

NTENT

Senior Java Engineer

$58.50 - $74.75/hr

Toronto, Ontario (Initially Remote) About Us: We are a unique group of brilliant minds intent on ... Hadoop ecosystem (HDFS, Hadoop, Hive) * Spark * Samza * Kafka * Aerospike * Lucene NLP (Solr or ...

NTENT

Senior Java Engineer

$58.50 - $74.75/hr

Toronto, Ontario (Initially Remote) About Us: We are a unique group of brilliant minds intent on ... Hadoop ecosystem (HDFS, Hadoop, Hive) * Spark * Samza * Kafka * Aerospike * Lucene NLP (Solr or ...

Futran Tech Solutions Pvt. Ltd.

Platform Developer

Platform Developer (100% remote) Location: 100% remote ( If a candidate is within 45 miles of ... Spark and Hadoop are musts, will have to have demonstratable experience using both * Understands ...

Futran Tech Solutions Pvt. Ltd.

Sr Data Scientist

Remote Summary: The main function of the Data Scientist is to produce innovative solutions driven ... Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop ...

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How much do remote hadoop jobs pay per hour?

As of Jun 8, 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.

More about Remote Hadoop jobs
What cities are hiring for Remote Hadoop jobs? Cities with the most Remote Hadoop job openings:
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What states have the most Remote Hadoop jobs? States with the most job openings for Remote Hadoop jobs include:
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Remote Hadoop jobs near you
Infographic showing various Remote Hadoop job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.
Microsoft Azure Cloud Engineer/Developer

Microsoft Azure Cloud Engineer/Developer

Johnson Technology Systems Inc

Morristown, NJ • On-site, Remote

$62 - $80.50/hr

Contractor

Posted 28 days ago

Job description

Company Description
Established in 2003, JTSi is an IT & Engineering Services provider with years of documented experience in the Information Technology and Engineering services field. JTSi has a proven track record for successfully delivering mission-critical Professional IT Services to the Public Sector. JTSI SAP/ERP team delivers high-value business solutions to its clients by clearly understanding their core business problems. We deliver quality services at equitable rates and focus on constant improvement in all areas of our operation, with a strong commitment to meeting our Customers' needs. We view ourselves more as a Business Partner than merely a consulting services provider. US Army ERP Services Contract award to JTSi for a ceiling value of $846M is one of the most prestigious awards of the time. At JTSi "Customer Is Always First" and partnering is our path to customer satisfaction - We do what we say. Visit us at www.jtsusa.com
Job Description
  • Deep Knowledge on Open Source Technologies for Distributed Data processing, analysis of big data sets including writing jobs to process vast amounts of data and ETL processing, required expertise is over tools such as: Apache Hadoop, MapReduce, Pig, Spark, Databricks, Hive
  • Deep Knowledge on Open Source Technologies to perform fast, interactive SQL queries at scale over structured or unstructured big data sets, required expertise is over tools such as: Apache Hive LLAP, Spark SQL, Phoenix
  • Deep Knowledge on Open Source Technologies to enable ingestion and processing of millions of streaming events per second: Apache Kafka, Apache Storm, Apache Spark, Apache HBase
  • Deep Knowledge on Performance Analysis and Optimization and operation of Apache Hadoop, Spark, Databricks and the others mentioned above.
  • Deep Knowledge on Open Source Technologies for Machine Learning such as: MLib
  • Strong expertise in ETL/ELT approaches and expertise in technologies such as: Azure Data Factory and SQL Server Integration Services.
  • Software Development skills to write code on Java, Spark Scala, PySpark, Python

Qualifications
Functional Skills
  • Design
  • Hosted Services Deployment
  • IoT Application Management
  • MaaS Assessment Services
  • Mobile Application Custom Development
  • Mobile Application Database Connectivity
  • Mobile Application Offline Architecture
  • Open Source Container Orchestration
  • Relational Database Architecture for Cloud Applications
  • Search Design and Architecture
  • Serverless Computing
  • Unstructured Data Storage Architecture
  • Using Xamarin for cross-platform development
  • Web Application API Management
  • Web Application Development
  • Web Application Security

Additional Information
The role is Remote and 6 Month Contract.
TO QUALIFY YOU MUST BE US citizens. PRINCIPALS Only. NO Staffing Agencies!!
We promote a Drug-Free Workplace and are an Equal Opportunity Employer (EOE) and Affirmative Action Employer.

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