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Hadoop Engineer Jobs (NOW HIRING)

Euclid

Hadoop Engineer

Charlotte, NC · On-site

Hadoop Developer Hadoop Developer -Spark -Hive -Data Integration Must Have: * Hadoop Developer -Spark -Hive -Data Integration Required Skills: * 5+ years of application development and implementation ...

Euclid Innovations

Hadoop Engineer

Charlotte, NC · On-site

Hadoop Developer -Spark -Hive -Data Integration Required Skills: 5+ years of application development and implementation experience • 5+ years of experience delivering complex enterprise-wide ...

AceStack LLC

Hadoop Engineer

Bellevue, WA · On-site

Role - Hadoop Engineer Location - Bellevue, WA (100% ONSITE) Experience - 6+ Type - Full Time Employment Must Have Technical/Functional Skills: Digital: Big Data and Hadoop Ecosystems, Digital: Kafka ...

Decision Wave

Hadoop Developer - Full-Time

San Jose, CA · On-site

$120K/yr

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 ...

Decision Wave

Hadoop Developer - Full-Time

San Jose, CA · On-site

$120K/yr

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 ...

ClifyX

SR Hadoop Developer

Cincinnati, OH · On-site

Senior Hadoop Engineer 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.

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 ...

Deegit Inc

Hadoop Engineer

Sunnyvale, CA · On-site

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

Jobsbridge

Java Hadoop Engineer

San Diego, CA

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

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 ...

RIT Solutions, Inc.

Hadoop Developer

Austin, TX · On-site

Hadoop Developer Location: Jersey City, NJ/Charlotte, NC (Local Only) Video Interviews Experience: Minimum 10 years Hadoop Developer Must Have Technical/Functional Skills Primary Skill: Hadoop ...

Samprasoft

Hadoop Developer

Mclean, VA · On-site

Hadoop Developer Location: Mclean, VA (Onsite from Day 1 in Hybrid Model) Duration: 9 - 12+ Months (With further ext. possibility) Notes: * Big Data Hadoop developer role * Experience with Data ...

Jobsbridge

Data / Hadoop Engineer

Austin, TX

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 ...

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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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Hadoop Engineer jobs near you
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 Engineer

Hadoop Engineer

Euclid

Charlotte, NC • On-site

Other

Posted 12 days ago

Job description

Hadoop Developer

Hadoop Developer -Spark -Hive -Data Integration

Must Have:

  • Hadoop Developer -Spark -Hive -Data Integration

Required Skills:

  • 5+ years of application development and implementation experience
  • 5+ years of experience delivering complex enterprise-wide information technology solutions
  • 3+ years of reporting experience, analytics experience or a combination of both
  • 4+ years of Hadoop development/programming experience
  • 5+ years of operational risk or credit risk or compliance domain experience
  • 5+ years of experience delivering ETL, data warehouse and data analytics capabilities on big-data architecture such as Hadoop
  • 6+ years of Java or Python experience
  • 5+ years of Agile experience
  • 5+ years of design and development experience with columnar databases using Parquet or ORC file formats on Hadoop
  • 5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
  • 2+ years of experience integrating with RESTful API
  • Excellent verbal, written, and interpersonal communication skills
  • Experience designing and developing data analytics solutions using object data stores such as S3
  • Experience in Hadoop ecosystem tools for real-time & batch data ingestion, processing and provisioning such as Apache Spark and Apache Sqoop
  • Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
  • Ability to interact effectively and confidently with senior management
  • Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects
  • Knowledge and understanding of DevOps principles
  • A BS/BA degree or higher in information technology

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