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Hadoop Engineer Jobs (NOW HIRING)

Hadoop Engineer Duration : Long term Location : San Jose, CA Rate : $120K PA We are looking for Hadoop Engineer. Prior working experience in Payments or e-commerce domain will be a plus. Required ...

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 ...

Company Description Hadoop - MapReduce, Hive, Kafka or any messaging software, Computer Science fundamentals, Java, Python or any other scripting language, Qualifications Additional Information All ...

... engineering staff regarding the client enterprise architectural landscape Excellent verbal and written communication skills. Qualifications Strong Java, NoSQL,Hadoop,Pig, Hive, Mahout Additional ...

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

RESPONSIBILITIES Experience and knowledge of big data technologies such as Hadoop, HBase, Hive is required. Spark and Kafka experience is nice to have. Develop reports, dashboards and metadata layers ...

Involve in Architecture, design & development of Hadoop based solutions with Hadoop - Cloudera, Scala, SPARC, Flume & Kafka and Data Design & Database Development. Creates and maintains documentation ...

Senior Hadoop Developers are responsible for development, programming, coding of Information Technology Solutions. Senior Hadoop Developers are responsible for documenting detailed system ...

Sr Hadoop Developer Location: Newark, DE, Plano TX, Charlotte,NC Fulltime Skill: Hadoop Developer * Experienced in Hadoop, Unix shell scripting. * 7+ Years of experience in the data warehousing ...

Hadoop Developer Location: Charlotte, NC - Hybrid Duration: 12 months Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting ...

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 ...

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How much do hadoop engineer jobs pay per hour?

As of Jul 25, 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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What cities are hiring for Hadoop Engineer jobs? Cities with the most Hadoop Engineer job openings:
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What job categories do people searching Hadoop Engineer jobs look for? The top searched job categories for Hadoop Engineer jobs are:
Infographic showing various Hadoop Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.

Hadoop Developer - Full-Time

Decision Wave

San Jose, CA

$120K/yr

Full-time

Posted 22 days ago


Job description

Company Description

Thanks & Warm Regards

NAGA

617-844-0923

naga .at. decisionwave com

DecisionWave Technologies

www.decisionwave.com

Job Description

Hello,

Hope you're doing great and I have an 2 Open Full-Time opportunity with one our direct client and tried reaching you.

Position: Hadoop Engineer

Duration: Long term

Location: San Jose, CA

Rate: $120K PA

We are looking for Hadoop Engineer. Prior working experience in Payments or e-commerce domain will be a plus.

Required Skills:

         5+ years programming experience primarily in Java and/or Scala.

         A solid foundation in common design patterns, algorithms and data structure

         Conduct design and code reviews, fix bugs, monitor and resolve production issues.

         Proficient understanding of distributed computing principles

         Management of Hadoop cluster, with all included services

         Proficiency with Hadoop, MapReduce, HDFS

         Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

         Experience with building stream-processing systems, using solutions such as Spark or Storm

         Experience with NoSQL databases, such as Aerospike, HBase, Cassandra, MongoDB

         Good communication skills

         Good understanding of Agile methodology, software engineering best practice, capable of working in a globally distributed development team

If you are interested please reply to this email with an updated resume. Please share this Job Description if anyone else is interested.


Thanks & Warm Regards

NAGA

617-844-0923

naga .at. decisionwave com

DecisionWave Technologies

www.decisionwave.com

Additional Information

All your information will be kept confidential according to EEO guidelines.