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Big Data Hadoop Jobs (NOW HIRING)

TestingXperts

Big Data Hadoop

Chicago, IL · On-site

Must Have Skills 1. Hadoop 2. Talend 3. Hive Detailed Need developer with excellent technical skills with Big Data Hadoop Talend, Hive Top 3 responsibilities you would expect the Subcon to shoulder ...

Sonsoft Inc

Big Data/Hadoop

Charlotte, NC

Experience in Big data testing (Hadoop) is required * Experience in any data warehouse technologies is preferred * Experience in managing testing teams in onsite offshore model * Ability to work in ...

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

Hadoop Developer * 7+ Years of experience in the data warehousing architectural approaches and minimum 4 years of experience in Big data(Cloudera). * Excellent working experience in HDFS, Hadoop ...

Sonsoft Inc

Big Data/Hadoop

Charlotte, NC

Experience in Big data testing (Hadoop) is required * Experience in any data warehouse technologies is preferred * Experience in managing testing teams in onsite offshore model * Ability to work in ...

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

Previous experience as a Hadoop developer or big data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with ...

Sonsoft Inc

Big Data Hadoop Developer

Phoenix, AZ · On-site

Big Data Hadoop Developer (with experience on PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, Impala, Kafka, SPARK, Oozie, Java and shell scripting etc.) Job Location : Phoenix, Arizona (Phoenix is ...

Sonsoft Inc

Big Data Hadoop

El Segundo, CA · On-site

Analyze application for data integrity issues. * Develop test protocols or plan for testing revised ... Proven understanding and related experience with Hadoop, Hive, Sqoop and Map/Reduce * Ability to ...

GTS FZCO

Big data/Hadoop Developer

San Ramon, CA · On-site

Big data/Hadoop/spark/Scala/Kafka/Cassandra hands in Engineer. Must have worked on large projects. Debugging and logs knowledge is key. Both are top priorities. Additional Information All your ...

GTS FZCO

Big data/Hadoop Developer

San Ramon, CA · On-site

Big data/Hadoop/spark/Scala/Kafka/Cassandra hands in Engineer. Must have worked on large projects. Debugging and logs knowledge is key. Both are top priorities. Qualifications Additional Information ...

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How much do big data hadoop jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for big data hadoop in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

Is Big Data Hadoop used in big data?

Big Data Hadoop is a widely used framework for processing large datasets in big data environments. Hadoop's distributed storage and processing capabilities make it essential for data engineers and analysts working with massive data volumes, often complemented by skills in MapReduce, HDFS, and related tools.

What are the key skills and qualifications needed to thrive as a Big Data Hadoop professional?

To thrive as a Big Data Hadoop professional, you need expertise in distributed computing, data processing, and programming languages like Java, Python, or Scala, typically supported by a degree in computer science or related fields. Familiarity with Hadoop ecosystem tools (such as HDFS, MapReduce, Hive, Pig, Spark), and certifications like Cloudera Certified Associate (CCA) or Hortonworks Certified Associate (HCA) are highly valued. Strong analytical skills, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are essential for efficiently managing and processing massive datasets, ensuring data-driven decision-making, and collaborating with cross-functional teams.

What is the difference between Big Data Hadoop vs Data Engineer?

AspectBig Data HadoopData Engineer
Primary FocusManaging and processing large datasets using Hadoop ecosystemDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsHadoop, MapReduce, HDFS, Hive, PigSQL, ETL, Python, Spark, cloud platforms
Work EnvironmentBig data environments, data centers, cloud platformsData warehouses, cloud services, enterprise IT
CertificationsHadoop certifications, Cloudera, HortonworksGoogle Cloud, AWS, Microsoft Azure certifications

While Big Data Hadoop specialists focus on managing and processing data using Hadoop tools, Data Engineers design and develop data pipelines and infrastructure to support data analysis. Both roles often collaborate but have distinct skill sets and responsibilities within the data ecosystem.

What is a Big Data Hadoop professional?

A Big Data Hadoop professional is someone skilled in using Apache Hadoop, an open-source framework that processes and stores vast amounts of data across distributed computer clusters. These professionals typically work with tools within the Hadoop ecosystem, such as HDFS (Hadoop Distributed File System), MapReduce, Hive, Pig, and HBase, to manage big data workflows. Their responsibilities include designing, developing, and maintaining scalable data processing systems, ensuring data reliability and security, and optimizing performance for analytics and business intelligence applications.

What are some common challenges faced by Big Data Hadoop professionals when managing large data clusters?

Big Data Hadoop professionals often encounter challenges such as ensuring cluster performance and reliability, handling data security, and managing resource allocation efficiently. Balancing workloads across nodes, troubleshooting job failures, and optimizing storage and processing can require creative problem-solving and close monitoring. Additionally, keeping up with rapid technology changes and integrating Hadoop with other data tools are ongoing aspects of the role. Collaboration with data engineers, analysts, and IT teams is essential for maintaining smooth operations and addressing issues quickly.

What are jobs in Big Data Hadoop?

Jobs in Big Data Hadoop include roles such as Hadoop Developer, Data Engineer, and Big Data Architect, focusing on designing, developing, and maintaining data processing systems using Hadoop ecosystem tools like HDFS, MapReduce, and Spark. These roles typically require knowledge of programming languages like Java or Python, data modeling, and experience with distributed computing environments.
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Big Data Hadoop jobs near you
Infographic showing various Big Data Hadoop job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data Hadoop

TestingXperts

Chicago, IL • On-site

Contractor

Re-posted 26 days ago

Job description

Company Description

TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune enterprises globally. Through our innovative techniques, we are pushing the conventional norms of Quality Assurance and blending technology to yield remarkable deliverables. We are also an ISO 9001:2008 & ISO 27001:2013 certified company.

Leveraging holistic knowledge of core business processes and software development, our comprehensive suite of testing services covers Functional and Non-Functional testing, Professional Expertise for Cloud and Mobile Technology. Our customer centred approach assists enterprises in thriving in ever advancing market through breakthrough solutions.

Inheriting the virtues of quality at job and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment of our clients.

Job Description

Must Have Skills
1. Hadoop
2. Talend
3. Hive

Detailed Job Description:

Need developer with excellent technical skills with Big Data Hadoop Talend, Hive

Top 3 responsibilities you would expect the Subcon to shoulder and execute*: 

1. Handle development and support
2. Involve in requirement gathering

Additional Information

All your information will be kept confidential according to EEO guidelines.

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