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Hadoop Engineer Jobs (NOW HIRING)

Apache, Hive, Spark and Hadoop SQL Experience is a MUST 0-2 yrs of experience we need, its a Jr-Mid level Hadoop Developer role The main function of a Hadoop Developer is to design, develop, code ...

Company Description Jobsbridge Hadoop developer with sold experience in implementing or running Hadoop for large scale systems. 3-4 years of solid Hadoop experience. Familiar with Hadoop tools ...

Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop Developer will assist with a commercial project to develop, integrate, test, and maintain the existing and the new ...

Hadoop Developer Sonsoft, Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software ...

... data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

Hadoop Developer Job Location: -Durham, NC Duration: 6+ Months Overview: Responsibilities Design, implement and deploy custom applications on Hadoop. Troubleshoot production issues with Hadoop ...

Hadoop Developer Location: Redmond WA Duration: 12 + Months Client: Wipro The Hadoop Developer will assist with a commercial project to develop, integrate, test, and maintain the existing and the new ...

This engineer should come from the background of a senior Hadoop developer. The position will be in support of data curation, ingestion, management, and client consumption. This individual has an ...

Skill Hadoop Developer Location Irvine, CA Total Experience 1 yrs. Max Salary Not Mentioned Employment Type Contract Jobs (Temp/Consulting) Job Duration 6 months Domain Any Description OPT and EAD ...

Kafka Hadoop Developer Location: Charlotte, NC FTE ONLY Job Summary We are seeking a highly skilled Kafka Hadoop Developer to design, develop, and maintain scalable big data and streaming data ...

Lead Hadoop Developer Location: San Jose, CA JD- Hadoop data storage design (HDFS/Hbase) and Integration, scripting hive, unix, python (nice to have), pig, java. Excellent knowledge of Hadoop ...

... data engineer. * Advanced knowledge of the Hadoop ecosystem and its components. * In-depth knowledge of Hive, HBase, and Pig. * Familiarity with MapReduce and Pig Latin Scripts. * Knowledge of ...

Hadoop Developer Senior Hadoop Tools Developer · Computer Science Degree or related, master degree is an advantage · 5-10+ years total experience in development mainly around Java and all related ...

Skill Hadoop Developer Location Irvine, CA Total Experience 1 yrs. Max Salary Not Mentioned Employment Type Contract Jobs (Temp/Consulting) Job Duration 6 months Domain Any Description OPT and EAD ...

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Hadoop Engineer information

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How much do hadoop engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for 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 engineers make $300,000 a year?

Senior Hadoop engineers with extensive experience, advanced skills in big data tools, and certifications can earn $300,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Hadoop Engineer job?

A Hadoop Engineer is responsible for designing, developing, and maintaining big data solutions using the Hadoop ecosystem. They handle tasks such as data ingestion, storage, processing, and analysis using tools like HDFS, MapReduce, Hive, Spark, and HBase. Hadoop Engineers also optimize performance, ensure data security, and troubleshoot system issues. Their role is crucial in managing large-scale data processing pipelines for organizations that rely on big data analytics.

Can I make 200K as a Data Engineer?

Hadoop Engineers and Data Engineers with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise in technologies like Hadoop, Spark, and cloud platforms.

What are the common challenges Hadoop Engineers face in their daily work, and how can they prepare for them?

Hadoop Engineers often encounter challenges such as optimizing the performance of large-scale data processing jobs, troubleshooting complex issues within distributed systems, and ensuring data security and reliability. Staying up-to-date with evolving data processing frameworks, maintaining efficient cluster management, and balancing resource utilization are also common hurdles. Preparing for these challenges involves continual learning, hands-on experience with various Hadoop ecosystem tools, and proactive communication with team members to resolve issues quickly. By cultivating resilience and problem-solving skills, engineers can turn these challenges into opportunities for professional growth and innovation.

What are the key skills and qualifications needed to thrive in the Hadoop Engineer position, and why are they important?

To thrive as a Hadoop Engineer, you need a solid understanding of distributed computing, big data frameworks, and programming skills in languages such as Java, Python, or Scala, often supported by a bachelor's degree in computer science or a related field. Familiarity with Hadoop ecosystem tools like Hive, Pig, HBase, Spark, and experience with cloud platforms or Hadoop certifications (e.g., Cloudera, Hortonworks) are highly valued. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help in diagnosing issues and collaborating with cross-functional teams. These competencies are vital to efficiently manage and optimize large-scale data processing systems, ensuring robust data solutions for business needs.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in related big data tools may earn higher salaries.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Hadoop engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.
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Infographic showing various Hadoop Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.
Hadoop Developer

$56/hr

Contractor

Posted 19 days ago


Job description

Company Description

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation.  Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function.  Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. 


Qualifications

Hadoop Developer needs 5+ years of Python, Java/ Scala. 


Hadoop Developer requires:

  • B.S. and M.S. in mathematics, computer science or engineering 
  • 3+ years of demonstrated technical proficiency with SPARK, big data projects, and experience in data modeling.
  • Experience
    designing and developing data ingestion and processing/transformation
    frameworks leveraging tools such as ADF, NiFi, Sqoop, Eclipse
  • Should
    have worked in Big data space for at least 5 years in Apache Spark,
    Hive and MapReduce. Experience with a variety of Big Data ETL tools,
    e.g. Spark, Hive, Kafka, Sqoop, MapReduce, Scala, Zookeeper, Etc
  • Should have experience in Cloudera or Hortonworks and exposure to Teradata is beneficial. 

Hadoop Developer duties:


  • Translate complex functional and technical requirements into detailed design
  • Proficiency in SPARK for technical development and implementation
  • Load disparate data sets by leveraging various big data technology (Kafka)
  • Ability to utilize Hive, Spark, Cassandra, MLlib, Typescript,NodeJS, Pyspark, Eclipse 
Additional Information

$56hr

6  MONTHS


Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

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