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Senior Hadoop Developer Jobs (NOW HIRING)

Tekgence

Sr Hadoop Developer

Charlotte, NC · On-site

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 ...

Tekgence inc

Sr Hadoop Developer

Charlotte, NC · On-site

... Hadoop using MapR, HIVE, Apache Spark • Experience in developing applications using big-data ... with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model ...

Charter Global

Hadoop Developer

Phoenix, AZ · On-site

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 ...

Charter Global

Hadoop Developer

Phoenix, AZ

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 ...

Keylent Inc

Sr. Hadoop Architect

Minneapolis, MN · On-site

Sr. Hadoop Architect We are seeking a Sr. Hadoop Architect to guide the migration of an application ... Data Engineering: Ingest, transform, and analyze data Services: HDFS, YARN, YARN Queue Manager ...

Info-Ways

Hadoop Developer

Riverwoods, IL · On-site

The Senior/Lead Hadoop Developer is responsible for designing, developing, testing, tuning and building a large-scale data processing system, for Data Ingestion and Data products that allow the ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

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 ...

AceStack LLC

Senior Developer Hadoop

Charlotte, NC · On-site

Senior Developer Location: Charlotte, NC Full Time - Permanent Must Have Technical/Functional ... Solid knowledge of Hadoop ecosystem (HDFS,Hive/Impala, YARN) * Proven experience designing and ...

Georgia IT Inc

Sr. Hadoop Architect-Remote

Sr. Hadoop Architect Location: Minneapolis, MN or Remote Duration: 12 Months Rate: DOE We are ... Data Engineering: Ingest, transform, and analyze data Services: HDFS, YARN, YARN Queue Manager ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

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 experience in LINUX, Java ...

Jobsbridge

Hadoop Developer

Atlanta, GA · On-site

... Hadoop Developer with hands-on experience Hadoop- Hadoop ecosystem, Java MapReduce, Pig, Hive ... Proven ability to work with senior technical managers and staff to provide expert-level support for ...

Jobsbridge

Hadoop Developer

Atlanta, GA · On-site

... Hadoop Developer with hands-on experience Hadoop- Hadoop ecosystem, Java MapReduce, Pig, Hive ... Proven ability to work with senior technical managers and staff to provide expert-level support for ...

Euclid

Hadoop Engineer

Charlotte, NC · On-site

Hadoop Developer Hadoop Developer -Spark -Hive -Data Integration Must Have: * Hadoop Developer ... Ability to interact effectively and confidently with senior management * Knowledge and ...

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Senior Hadoop Developer information

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How much do senior hadoop developer jobs pay per hour?

As of Jul 4, 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 June 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $116,906 per year, or $56.2 per hour.
Sr Hadoop Developer

Sr Hadoop Developer

Tekgence

Charlotte, NC • On-site

Contractor

Posted 3 days ago

Job description

Company Description

We are an IT Consulting & Staffing Services Company located in Dallas Area, Texas.

We take the right talent and get them to the right client. We work quickly and communicate clearly to staff your projects right. Our process provides you a streamlined workflow, providing clients with the highest level of care available in the IT staffing industry.

Job Description

         Overall 12-15 yrs of experience in IT and atleast 5-6 yrs development experience on Hadoop using MapR, HIVE, Apache Spark

         Experience in developing applications using big-data, cloud and container based architecture

         Develop code for data services, test and deploy

         Experience with DevOps tools like Chef, Puppet to integrate the artifacts and assets developed by model developers

         Experience in optimizing and troubleshooting application performance with tuning of Hive and Apache Spark.

         Work with business analysts, development teams and project managers for requirements and business rules.

         Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist

         Work with Infrastructure Engineers and System Administrators as appropriate.

         Working experience with offshore-onsite model

         Good team handling skills

         Good analytical skills and problem solving skills

         Strong oral and written communications skills

Additional Information

Note: USC, GC, GC_EAD, L2EAD, AND H1B can apply for this role

No OPT EAD & H4EAD

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