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Hdp Jobs (NOW HIRING)

... HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. • Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few • Performance tuning ...

Supporting Hortonworks HDP Knowledge of Linux automation tools such as Puppet or Chef Configuring Hadoop in the cloud (Azure) Creating high quality documents Education and work experience ...

Strong experience in Hadoop Core components - HDFS, Pig , Hive on HDP platform. Hands-on experience on JAVA, SQL, Hbase/ Streaming. Would be required to do POC on various aspects of Hadoop work apart ...

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

Experience with CDP/HDP (Cloudera or Hortonworks), Elastic Search, and Kibana * Hands-on programming experience in at least one of the following: Scala, Python, PHP, or Shell Scripting * Proficiency ...

Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc. * Hands on programming experience in at ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Experience with CDP/HDP (Cloudera or Hortonworks), Elastic Search, and Kibana * Hands-on programming experience in at least one of the following: Scala, Python, PHP, or Shell Scripting * Proficiency ...

GROUP HEALTH INSURANCE Administered by Auxiant/HealthLink, PPO and HDP available with FSA or HSA Medical with Prescription Plan and Dental Plan available Voluntary Life Insurance Voluntary Vision ...

GROUP HEALTH INSURANCE Administered by Auxiant/HealthLink, PPO and HDP available with FSA or HSA Medical with Prescription Plan and Dental Plan available Voluntary Life Insurance Voluntary Vision ...

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Hdp information

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$10

$55

$71

How much do hdp jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hdp 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 an hdp?

HDP professionals typically refer to experts who work with Hortonworks Data Platform (HDP), which is an open-source framework for distributed storage and processing of large data sets. These professionals are knowledgeable in big data technologies such as Hadoop, Spark, and related tools within the HDP ecosystem. They are responsible for designing, deploying, managing, and optimizing data solutions to help organizations analyze and leverage large amounts of data efficiently. Their work often involves system administration, data engineering, and ensuring data security and scalability across the platform.

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 in Java, Python, or Scala, as well as a solid understanding of distributed computing and data processing concepts. Familiarity with Hadoop ecosystem tools such as HDFS, MapReduce, Hive, Pig, and Spark, along with relevant certifications like Cloudera or Hortonworks, is highly beneficial. Problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills for this role. These competencies ensure efficient handling of big data projects, optimize data workflows, and contribute to successful collaboration in large-scale data environments.

What are some common challenges faced by professionals working in Hadoop (HDP) roles, and how can they be addressed?

Professionals in Hadoop (HDP) roles often encounter challenges related to managing large-scale data clusters, ensuring data security, and optimizing performance. One frequent issue is troubleshooting cluster performance bottlenecks, which requires a strong understanding of both the Hadoop ecosystem and system architecture. Additionally, maintaining data integrity and implementing robust access controls can be complex in distributed environments. Collaboration with data engineers, system administrators, and security teams is crucial to address these challenges effectively. Staying updated with the latest tools and best practices in the Hadoop ecosystem also helps in overcoming these obstacles.

What is the difference between Hdp vs Data Analyst?

AspectHdpData Analyst
Required CredentialsTypically requires a degree in computer science, data management, or related fields; certifications like HDP Certified Administrator are commonRequires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau are beneficial
Work EnvironmentWorks with big data platforms, Hadoop ecosystem, and data infrastructure in data centers or cloud environmentsAnalyzes data sets, creates reports, and visualizations often in office or remote settings
Employer & Industry UsageUsed in tech companies, data-driven organizations, and industries handling large-scale dataEmployed across various industries including finance, marketing, healthcare, and consulting

Hdp (Hadoop Distributed Processing) focuses on managing and processing large data sets using Hadoop ecosystems, while Data Analysts interpret data, create reports, and support decision-making. Both roles require data-related skills but serve different functions within data management and analysis.

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What cities are hiring for Hdp jobs?

Cities with the most Hdp job openings:

What states have the most Hdp jobs?

States with the most job openings for Hdp jobs include:

What job categories do people searching Hdp jobs look for?

The top searched job categories for Hdp jobs are:

Infographic showing various Hdp job openings in the United States as of August 2026, with employment types broken down into 68% Full Time, 3% Part Time, 24% Contract, and 5% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Full-time

Re-posted 21 days ago


Job description

Company Description

Continental Technology Solutions is Our consulting and managed services deliver the resources and capabilities required to assess,design, build and manage an agile, flexible IT environment. You'll work with one dedicated team from strategy and assessment through design, implementation, management and optimization to reach a true end-to-end solution.

Job Description

Position : Hadoop Admin
Location : Austin, TX / Houston, TX / Palo Alto, CA / Sunnyvale, CA

Full Time


Job Description :
5 - 7 +years of experience in Implementation and Administration of Hadoop infrastructure
Operational expertise in troubleshooting , understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks
Hadoop, MapReduce, HBase, Hive, Pig,Sqoop,Flume,Spark,OOzie,
Hadoop Administration skills: Experience working in MApr/HDP/Cloudera or Ambari. (Please highlight this in your submission if you guys find anyone suitable)
Exposure to setting up Ad/LDAP/Kerberos Authentication models
Experience in Shell scripting and exposure to Python
Knowledge of Troubleshooting Core Java Applications is a plus
Exposure to Real-time Execution engines like Spark, Storm, Kafka.
Well experienced with Linux systems
Able to install, configure and fine tune Mapr clusters.
Experienced with trouble shooting hadoop application maprreduce jobs,hive,pig,hbase
Experienced with leading Big-data admin team onsite/offshore
Experienced with Hadoop upgrades and troubleshooting.

Additional Information

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