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Senior Hadoop Developer Jobs (NOW HIRING)

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Skill Hadoop, HDFS, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP ... programming, specifically Java, JS, Node.js and OOAD Experience writing to network-based API ...

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Experience with Hadoop data lifecycle management, storage management, and data retention. * Strong ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

New

Hadoop with dataware housing experience Location : Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation) is required. Very Strong engineering skills.

Skill Hadoop, HDFS, HBase, Hive, Pig, and HBase, Sqoop, Apache Spark, Apache Storm, OOAD, SOAP ... programming, specifically Java, JS, Node.js and OOAD Experience writing to network-based API ...

Hadoop with dataware housing experience Location : Sunnyvale ,CA and Bentonville , Arkansas Duration :12 months C2C Educational document (graduation) is required. Very Strong engineering skills.

Hadoop Developer - Remote ARC Group has an immediate opportunity for a Hadoop Developer! This position is 100% remote. This is starting out as a contract position running through December 2026 with ...

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Senior Hadoop Developer information

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How much do senior hadoop developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for senior hadoop developer in the United States is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $65.38 per hour, depending on experience, location, and employer.

What is the difference between Senior Hadoop Developer vs Data Engineer?

AspectSenior Hadoop DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining Hadoop-based data processing solutionsBuilding and managing data pipelines, integrating data from various sources
Skills & CertificationsHadoop ecosystem, Java, SQL, Linux, certifications like Cloudera or HortonworksETL tools, SQL, cloud platforms, scripting, certifications like AWS or Google Cloud
Work EnvironmentData teams, software development projects, big data environmentsData infrastructure, analytics teams, cloud and on-premises environments

While both roles work with large-scale data, Senior Hadoop Developers focus on Hadoop ecosystem solutions, whereas Data Engineers build comprehensive data pipelines across various platforms. The roles often overlap but differ in scope and tools used.

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

To thrive as a Senior Hadoop Developer, you need strong expertise in big data frameworks (such as Hadoop, Spark, and Hive), advanced programming skills (Java, Scala, or Python), and a solid understanding of data modeling and distributed systems, often supported by a relevant degree. Experience with Hadoop ecosystem tools (HDFS, MapReduce, Pig, Sqoop), cloud platforms (AWS, Azure), and certifications like Cloudera or Hortonworks are commonly required. Analytical thinking, effective communication, and problem-solving abilities are key soft skills that help navigate complex data challenges and collaborate with cross-functional teams. These competencies ensure the efficient design, implementation, and optimization of scalable data solutions critical for business success.

What are some common challenges faced by senior Hadoop developers when managing large-scale data pipelines?

Senior Hadoop Developers often encounter challenges such as optimizing cluster performance, ensuring data integrity during ETL processes, and managing resource allocation across multiple jobs. They must also troubleshoot errors related to distributed computing, which requires a deep understanding of Hadoop's architecture and ecosystem tools like Hive, Pig, and Spark. Effective communication with data engineers, analysts, and DevOps teams is essential for resolving bottlenecks and maintaining efficient, scalable pipelines.

What is a senior Hadoop developer?

Senior Hadoop Developers are experienced software professionals who specialize in designing, developing, and managing large-scale data processing solutions using the Hadoop ecosystem. Their responsibilities often include building data pipelines, optimizing queries, maintaining Hadoop clusters, and ensuring data security and reliability. They work with big data technologies like HDFS, MapReduce, Hive, Pig, and Spark, and often guide junior developers or collaborate with data engineers and analysts to translate business requirements into technical solutions.

What cities are hiring for Senior Hadoop Developer jobs?

Cities with the most Senior Hadoop Developer job openings:

What are the most commonly searched types of Hadoop Developer jobs?

The most popular types of Hadoop Developer jobs are:

What states have the most Senior Hadoop Developer jobs?

States with the most job openings for Senior Hadoop Developer jobs include:

What are popular job titles related to Senior Hadoop Developer jobs?

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Infographic showing various Senior Hadoop Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $116,906 per year, or $56.2 per hour.

Senior Hadoop Developer

PB consulting

Mcadenville, NC โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

Experience Required: 10+ Years

Required Technical/Functional Skills
  • 10+ years of experience working with the Hadoop ecosystem and large-scale distributed data platforms.
  • Strong hands-on experience with:
    • HDFS
    • Apache Hive
    • Apache Spark
    • Apache Ozone
  • Strong experience with Hive Metastore management, including table and partition maintenance.
  • Experience with Hadoop data lifecycle management, storage management, and data retention.
  • Strong knowledge of data ingestion, ETL processes, data validation, and troubleshooting.
  • Proficiency in SQL, Shell scripting, and Python automation.
  • Experience with Cloudera Data Platform (CDP) or similar Hadoop distributions.
  • Strong data analysis, troubleshooting, and root cause analysis skills.
Roles & Responsibilities
  • Monitor, troubleshoot, and resolve HDFS and Apache Ozone issues.
  • Investigate Hadoop cluster performance, storage utilization, capacity, and availability concerns.
  • Manage storage allocation, quota requests, capacity planning, and storage forecasting.
  • Perform Hive Metastore administration, including table and partition maintenance.
  • Support Hadoop platform maintenance, upgrades, integrations, onboarding, and decommissioning activities.
  • Support data ingestion, ETL workflows, and data validation processes.
  • Develop and maintain Shell and Python automation scripts for operational activities.
  • Collaborate with application, data engineering, and platform teams during incident, problem, and change management activities.
  • Perform root cause analysis and implement corrective and preventive actions.
  • Create and maintain runbooks, operational documentation, knowledge articles, and support procedures.
  • Ensure effective Hadoop data lifecycle, storage, and quota governance.
Preferred / Desired Skills
  • Experience supporting large-scale, multi-petabyte Hadoop environments.
  • Strong understanding of distributed storage architecture, replication, and fault tolerance.
  • Experience with capacity management, storage forecasting, quota governance, and utilization optimization.
  • Experience with Hadoop platform onboarding, integration, migration, and decommissioning.
  • Familiarity with AWS, Azure, or GCP cloud platforms.
  • Experience with monitoring and observability tools such as Cloudera Manager, Grafana, Splunk, and Prometheus.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience performing Root Cause Analysis (RCA) for complex production issues.
  • Strong communication and collaboration skills.