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Big Data Hadoop Jobs (NOW HIRING)

TestingXperts

Big Data Hadoop

Chicago, IL

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 ...

Sonsoft Inc

Big Data/Hadoop

Charlotte, NC · On-site

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 ...

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

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

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

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 ...

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How much do big data hadoop jobs pay per hour?

As of Jul 27, 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 Hadoop used in big data?

Big Data Hadoop is a framework widely used for processing and storing large datasets across distributed systems. It enables data engineers and analysts to manage big data efficiently using tools like MapReduce and HDFS, making it a fundamental technology in the big data ecosystem.

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

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.

Can I make 200K as a data engineer?

Big Data Hadoop data engineers with extensive experience, advanced skills in distributed systems, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise in tools like Spark, Kafka, and cloud platforms.

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 Hadoop?

Jobs in Hadoop refer to tasks or processes that run on the Hadoop framework, such as data processing, analysis, and transformation using tools like MapReduce, Spark, or Hive. Hadoop jobs typically require knowledge of distributed computing, scripting, and data management, and they are executed within a cluster environment to handle large-scale data workloads.

What is the salary of Hadoop data engineer?

The salary of a Hadoop Data Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in big data tools like Spark and Hive may earn higher salaries, especially in competitive markets.
More about Big Data Hadoop jobs
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What states have the most Big Data Hadoop jobs? States with the most job openings for Big Data Hadoop jobs include:
What job categories do people searching Big Data Hadoop jobs look for? The top searched job categories for Big Data Hadoop jobs are:
Big Data Hadoop jobs near you
Infographic showing various Big Data Hadoop job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,474 per year, or $56 per hour.
Big Data Hadoop

Big Data Hadoop

TestingXperts

Chicago, IL

Contractor

Posted 6 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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