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Senior Hadoop Developer Jobs (NOW HIRING)

Jobsbridge

Senior Hadoop Engineer

Chicago, IL

Lead development experience with Hadoop, Spark, Pig, Hive, HBase, Kafka Lead development experience with Java, Scala, Ruby or other programming languages Strong Unix and shell scripting skills ...

Jobsbridge

Sr. Hadoop Engineer

San Jose, CA

Company Description Intelliswift Software, Inc 10+ years of computer science/engineering ... Hadoop, Falcon, Sqoop, Flume, Hive, Hcatalog, Spark, and Oozie) and integration into other ...

LibSys Inc

Sr. Hadoop/Hive Consultant

Foster City, CA · On-site

Company Description The client is VISA Position: Sr. Hadoop/Hive Consultant Location - Foster City, CA Duration: 1 year long The Analytics Software Engineer will work directly with Client Sales ...

hectocorn infotech

Hadoop Administrator

Eagan, MN

... Senior Hadoop L3 Admin Technical/Functional Skills -MUST HAVE SKILLS Cloudera Hadoop L3 Admin ... Aligning with the systems engineering team to propose and deploy new hardware and software ...

hectocorn infotech

Hadoop Administrator

Eagan, MN · On-site

... Senior Hadoop L3 Admin Technical/Functional Skills -MUST HAVE SKILLS Cloudera Hadoop L3 Admin ... engineering team to propose and deploy new hardware and software environments required for Hadoop ...

Techtriadteam.com

Hadoop Developer

New York, NY · On-site

Senior Software Developer - Develops software working with Data Scientists and Architecture in support of IP Streaming Services Analytics. Requires knowledge and development experience of existing ...

Techtriadteam.com

Hadoop Developer

New York, NY

Senior Software Developer - Develops software working with Data Scientists and Architecture in support of IP Streaming Services Analytics. Requires knowledge and development experience of existing ...

Jobsbridge

Hadoop/ Bigdata Developer

Chicago, IL

... Senior Level (8+ years in Java/J2ee, 6+ year Hadoop) At least 6+ years experience in Hadoop (Map ... programming experience and Big Data ecosystem (Hadoop, HDFS, Map Reduce, Yarn, Pig, Hive, Oozie ...

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Senior Hadoop Developer information

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How much do senior hadoop developer jobs pay per hour?

As of Jun 8, 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, and why are they important?

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 are Senior Hadoop Developers?

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? For Senior Hadoop Developer jobs, the most frequently searched job titles are:
Senior Hadoop Developer jobs near you
Infographic showing various Senior Hadoop Developer job openings in the United States as of May 2026, with employment types broken down into 5% Full Time, 78% Part Time, 3% Temporary, and 14% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,906 per year, or $56.2 per hour.

Hadoop Developer at Charlotte, NC((Need Local Candidates)

SkylineIT Solutions

Charlotte, NC • Hybrid

Other

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

Job description

Role: Hadoop Developer
Location: Charlotte, NC
Contract 12 months
Hybrid 3 days onsite a week
 
 
 
Please send the resume to .
 
Need local with Hadoop development experience any visa will work
 
Involvement in the full development lifecycle: requirements gathering, design, development, documentation, testing, and deployment.
Daily responsibilities include developing, testing and optimizing Hadoop/Spark applications, troubleshooting data issues, and supporting production environments.
Regular interaction with local manager, Agile team members, and business stakeholders.
Mid to senior-level Hadoop Developer who can design, develop, and optimize Big Data solutions using the Hadoop ecosystem (HDFS, Hive, Spark) to process large-scale datasets efficiently.
Must have strong ETL, Big Data-Hadoop, and SQL testing expertise, along with solid knowledge of Spark development including performance optimization and troubleshooting, as well as Unix, Data Warehousing, scheduling tools, and scripting.
Excellent data and code analysis capabilities, including troubleshooting data quality and integrity issues, identifying root causes, and assisting the production support team as needed to resolve critical issues.
Ability to lead small initiatives and promote best practices in software development and testing across the team.
Experience working in Agile teams.
Good understanding of Bit Bucket, Gradle, Jenkins, Ansible and CI-CD pipeline
 
 
Thanks
Charan
 

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