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Hadoop Jobs (NOW HIRING)

Info Way Solutions is looking for a Hadoop Admin to manage and maintain Hadoop infrastructure. The role involves cluster administration, performance tuning, monitoring, and ensuring compliance with ...

Company Description large Telecommunication client Senior Hadoop Tools Developer Computer Science Degree or related, master degree is an advantage 5-10+ years total experience in development mainly ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

Company Description Hectocorn Infotech Must be GC OR Citizen as the client won't sponsor Job Title Senior Hadoop L3 Admin Technical/Functional Skills -MUST HAVE SKILLS Cloudera Hadoop L3 Admin ...

Strong programming skills in JAVA, Scala (added advantage but not mandatory) Strong knowledge of Hadoop and its ecosystem components like MapReduce, Hive, Pig, Sqoop, Oozie, Flume, etc., Knowledge of ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

Responsible for implementation and ongoing administration of Hadoop infrastructure. Aligning with the systems engineering team to propose and deploy new hardware and software environments required ...

Job Title: Hadoop Administrator/ Engineer Location: New York, NY Position Type: Contract Role: • Manage several Hadoop clusters in development and production environments • Monitoring and ...

Hadoop Administrator/ Engineer Location: New York, NY Position Type: Contract Role: Manage several Hadoop clusters in development and production environments Monitoring and troubleshooting of ...

Responsible to build Hadoop Platform & Infrastructure from the scratch Aligning with development and architecture teams to propose and deploy new hardware and software environments required for ...

Hadoop Developer Job Location: -Durham, NC Duration: 6+ Months Overview: Responsibilities Design, implement and deploy custom applications on Hadoop. Troubleshoot production issues with Hadoop ...

Company Description Intelliswift Software, Inc Requirements 3-5 years of experience with the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop stack (HDFS, MapReduce ...

Hadoop, MapReduce, HBase, Hive, Pig, Mahout * Hadoop Administration skills: Experience working in Cloudera Manager or Ambari, Ganglia, Nagios * Experience in using Hadoop Schedulers - FIFO, Fair ...

ClifyX is seeking a Hadoop Analyst to work onsite in San Jose, CA. The main responsibilities include handling client requirements, designing according to business requirements, and developing and ...

Hadoop Architect Location : Bellevue, WA Duration: Full time Description Design and Solution Architect experience in Hadoop platforms. Strong experience in Hadoop Core components - HDFS, Pig , Hive ...

Hadoop Admin Location: Ann Arbor,MI Duration: Long term contract. Interview: Phone REQUIRED SKILLS : 1.Hadoop Administration 2.Security background 3. BONUS if they have hadoop tools (machine learning ...

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How much do hadoop jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for 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 is a Hadoop job?

Hadoop jobs refer to data processing tasks that are executed within the Hadoop ecosystem, typically using frameworks like MapReduce, Apache Hive, or Apache Pig. These jobs are designed to handle large volumes of data distributed across clusters of computers, making it possible to analyze and transform big data efficiently. Hadoop jobs can include data ingestion, transformation, aggregation, or analysis, and are often written in Java, Python, or SQL-like languages. Professionals working with Hadoop are responsible for developing, scheduling, monitoring, and troubleshooting these jobs to ensure smooth data processing.

What are the key skills and qualifications needed to thrive as a Hadoop developer?

To thrive as a Hadoop Developer, you need strong programming skills (Java, Python, or Scala), a solid understanding of distributed computing, and experience with big data processing, often supported by a relevant degree in computer science or IT. Proficiency with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark, as well as certifications like Cloudera or Hortonworks, is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills that help developers interpret complex data and collaborate with teams. These capabilities are crucial for efficiently managing and extracting insights from large datasets, driving business value through data-driven decisions.

What are some typical challenges Hadoop professionals face when managing large-scale data clusters?

Hadoop professionals often encounter challenges such as ensuring cluster stability, handling hardware failures, and optimizing resource allocation. Managing data security and access controls across distributed environments can also be complex, especially as clusters grow in size. Additionally, balancing workloads and fine-tuning system performance to meet business requirements are ongoing tasks that require strong problem-solving skills and attention to detail. Collaboration with data engineers, system administrators, and developers is key to effectively maintaining and scaling the Hadoop ecosystem.

What is the difference between Hadoop vs Data Engineer?

AspectHadoopData Engineer
Primary RoleFramework for distributed storage and processing of big dataDesign, build, and maintain data pipelines and infrastructure
Skills & CertificationsHadoop ecosystem, MapReduce, HDFS, Java, LinuxSQL, Python, Spark, cloud platforms, data modeling
Work EnvironmentBig data clusters, data centers, cloud environmentsData warehouses, cloud platforms, enterprise systems
Industry UsageData processing, analytics, big data projectsData integration, pipeline development, analytics support

While Hadoop is a framework used for processing large datasets, Data Engineers focus on designing and maintaining the data infrastructure that often utilizes Hadoop components. Both roles require knowledge of big data tools, but Data Engineers have a broader scope including data pipeline development and cloud integration.

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 demands strong technical knowledge and problem-solving abilities.
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Cities with the most Hadoop job openings:

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What states have the most Hadoop jobs?

States with the most job openings for Hadoop jobs include:

Infographic showing various Hadoop job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

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Job description

Job Summary:
Info Way Solutions is looking for a Hadoop Admin to manage and maintain Hadoop infrastructure. The role involves cluster administration, performance tuning, monitoring, and ensuring compliance with service level agreements.
Responsibilities:
• Responsible for implementation and ongoing administration of Hadoop infrastructure.
• Responsible for Cluster maintenance, trouble shooting, Monitoring and followed proper backup & Recovery strategies.
• Provisioning and managing the life cycle of multiple clusters like EMR & EKS.
• Infrastructure monitoring, logging & alerting with Prometheus/Grafana/Splunk.
• Performance tuning of Hadoop clusters and Hadoop workloads and capacity planning at application/queue level.
• Responsible for Memory management, Queue allocation, distribution experience in Hadoop/Cloud era environments.
• Should be able to scale clusters in production and have experience with 18/5 or 24/5 production environments.
• Monitor Hadoop cluster connectivity and security, File system (HDFS) management and monitoring.
• Investigates and analyzes new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value.
• Involved in fixing issues, RCA, suggesting solutions for infrastructure/service components.
• Responsible for meeting Service Level Agreement (SLA) targets, and collaboratively ensuring team targets are met.
• Ensure all changes to the Production systems are planned and approved in accordance with the Change Management process.
• Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.
• Maintain central dashboards for all System, Data, Utilization, and availability metrics.
Qualifications:
Required:
• 8-12 years of Total experience with at least 5 years of work experience in developing, maintaining, optimization, issue resolution of Hadoop clusters, supporting Business users.
• Experience in Linux / Unix OS Services, Administration, Shell, awk scripting.
• Strong knowledge of anyone programming language Python/Scala/Java/R with Debugging skills.
• Experience in Hadoop (Map Reduce, Hive, Pig, Spark, Kafka, HBase, HDFS, H-catalog, Zookeeper and Oozie/Airflow).
• Experience in Hadoop security (Kerberos, Knox, TLS).
• Hands-on Experience in SQL and No SQL Databases (HBASE) with performance optimization.
• Experience in tool Integration, automation, configuration management in GIT, Jira platforms.
• Excellent oral and written communication and presentation skills, analytical and problem-solving skills.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.