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Big Data Hadoop Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred)

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 ...

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 ...

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 ...

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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Big Data Hadoop information

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How much do big data hadoop jobs pay per hour?

As of Aug 18, 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.

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 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 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 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.

Is Big Data Hadoop used in big data?

Big Data Hadoop is a widely used framework for processing and storing large datasets in big data environments. Hadoop's distributed storage (HDFS) and processing capabilities make it essential for data engineers and analysts working with big data projects. Knowledge of Hadoop, along with related tools like MapReduce and Spark, is valuable for roles in this field.
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What cities are hiring for Big Data Hadoop jobs?

Cities with the most Big Data Hadoop job openings:

What states have the most Big Data Hadoop jobs?

States with the most job openings for Big Data Hadoop jobs include:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data/ Hadoop admin

Ruri Software Technologies LLC

Chicago, IL โ€ข On-site

Contractor

Re-posted 14 hours ago


Job description

Job Title : Big Data/ Hadoop admin
City : Chicago
State : IL
No of Positions : 1
Start : 10/19/2020
End : 03/30/2021
Additional Notes : Contract to hire role. Remote is for few months, after required to work in Chicago. Expert DBA support on the Hadoop Ecosystem comprises of Ambari, Ranger, Knox, Sqoop, Hive, and Kerberized Cluster