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Sr Hadoop Engineer 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 ...

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

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

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

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

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

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

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

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.

... Engineer will work directly with Client Sales Analytics Team and Solutions Architects to develop ... Collaboratively develop a business intelligence (BI) solution, using Hadoop (Hive) Coordinate with ...

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, HBase, Pig, SQL Solid experience as an RDBMS developer, ideally on Oracle, with stored procedures, query performance tuning and ETL. Solid experience with scripting language such as Python ...

Job Summary : Keylent Inc is seeking a Sr. Hadoop Architect to guide the migration of an ... data engineering and operational databases. Responsibilities : • guide the migration of an ...

Overall 12-15 yrs of experience in IT and atleast 5-6 yrs development experience on Hadoop using ... with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model ...

Company Description Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on ...

Company Description large Telecommunication client Senior Hadoop Tools Developer Computer Science Degree or related, master degree is an advantage 5-10+ years total experience in development mainly ...

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Sr Hadoop Engineer information

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$20

$63

$92

How much do sr hadoop engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for sr hadoop engineer in the United States is $63.20, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $73.80 per hour, depending on experience, location, and employer.

What is a Sr Hadoop engineer?

Sr Hadoop Engineers are senior-level professionals who specialize in designing, developing, and managing large-scale data processing systems using the Hadoop ecosystem. They are responsible for implementing big data solutions, optimizing Hadoop clusters, and ensuring data is efficiently stored and processed. In addition to technical expertise, Sr Hadoop Engineers often lead teams, mentor junior engineers, and collaborate with data scientists and analysts to deliver reliable and scalable data platforms.

What are the key skills and qualifications needed to thrive as a Sr Hadoop engineer?

To thrive as a Sr Hadoop Engineer, you need deep expertise in distributed computing, big data processing, and programming languages like Java, Scala, or Python, typically supported by a computer science degree and several years of relevant experience. Proficiency with Hadoop ecosystem tools (such as HDFS, MapReduce, Hive, Pig, and Spark), cluster management, and certifications like Cloudera Certified Professional are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with cross-functional teams and troubleshoot complex data issues. These skills and qualifications are essential for designing scalable data solutions and ensuring reliable, high-performance big data systems.

What are some common challenges faced by Sr Hadoop engineers when managing large-scale data clusters?

Sr Hadoop Engineers often encounter challenges such as ensuring cluster stability, optimizing resource management, and troubleshooting performance bottlenecks. Managing large-scale clusters requires balancing workload distribution, monitoring system health, and implementing robust security measures. Additionally, collaborating closely with data scientists and developers to align infrastructure with evolving analytics needs is essential for the role. Staying updated with the latest Hadoop ecosystem tools and best practices also helps in overcoming these challenges effectively.

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

AspectSr Hadoop EngineerData Engineer
Primary FocusDesigning, developing, and maintaining Hadoop-based data processing solutionsBuilding and managing data pipelines and infrastructure across various platforms
Skills & CertificationsHadoop, MapReduce, Hive, Pig, Spark, Linux, scriptingSQL, ETL tools, cloud platforms, programming (Python, Java), Hadoop knowledge
Work EnvironmentData teams in large enterprises, tech companies, or consulting firmsData teams across industries, often in cloud or on-premise environments

While both roles involve data processing, Sr Hadoop Engineers specialize in Hadoop ecosystem solutions, whereas Data Engineers focus on broader data pipeline development across multiple platforms. The roles often overlap but differ in scope and tools used.

What states have the most Sr Hadoop Engineer jobs?

States with the most job openings for Sr Hadoop Engineer jobs include:

What are popular job titles related to Sr Hadoop Engineer jobs?

For Sr Hadoop Engineer jobs, the most frequently searched job titles are:

Senior Hadoop Developer

Newell, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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.