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Hadoop Big Data Engineer Jobs (NOW HIRING)

Artech

Hadoop/Big-Data Engineer

Pennington, NJ · On-site

Hadoop / Big Data Engineer Location: Pennington, NJ (Hybrid work mode) Introduction: Join our dynamic team as a senior developer, where you will play a pivotal role in architecting and implementing ...

Artech

Hadoop/Big-Data Engineer

Charlotte, NC · On-site

$65 - $70/hr

... senior developer, where you will play a pivotal role in architecting and implementing Big Data ... Expertise in Hadoop and Spark * Proficiency in Kafka * Strong programming skills in Python

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 ...

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 ...

Gamen Group

Cloudera * Hadoop * Big Data

Boston, MA

We are looking to speak to Big Data Architects or developers, or in fact, anyone who has ... Hadoop (and Hadoop stack tech, Hive, MapReduce, HBase, Pig... ), EC2, Cassandra, etc. Amazon's EMR ...

Apply Early

Gamen Group

Cloudera * Hadoop * Big Data

San Jose, CA

We are looking to speak to Big Data Architects or developers, or in fact, anyone who has ... Hadoop (and Hadoop stack tech, Hive, MapReduce, HBase, Pig... ), EC2, Cassandra, etc. Amazon's EMR ...

Apply Early

Genesis10

Big Data Engineer - Onsite

Chicago, IL · On-site

$63.94 - $71.94/hr

Experience with SPARK structured streaming, Hadoop/Big Data, and distributed systems * Working ... Hands-on programming experience in at least one of the following: Scala, Python, PHP, or Shell ...

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How much do hadoop big data engineer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for hadoop big data engineer in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

What are some common challenges Hadoop Big Data Engineers face when working with large-scale data processing systems?

Hadoop Big Data Engineers often encounter challenges such as optimizing the performance of distributed data processing jobs, ensuring data quality and consistency across clusters, and managing resource allocation effectively in multi-tenant environments. Troubleshooting slow-running jobs and handling unexpected failures in the Hadoop ecosystem can be complex, requiring strong problem-solving skills and familiarity with tools like YARN, Hive, and Spark. Collaboration with data scientists, analysts, and DevOps teams is essential to address these challenges and ensure smooth data pipeline operations.

What are the key skills and qualifications needed to thrive as a Hadoop Big Data Engineer, and why are they important?

To thrive as a Hadoop Big Data Engineer, you need expertise in distributed computing, data modeling, and a strong background in programming languages such as Java, Scala, or Python, often supported by a degree in computer science or a related field. Familiarity with Hadoop ecosystems like HDFS, MapReduce, Hive, Pig, Spark, and tools such as Sqoop, Flume, and workflow schedulers is typically required, along with relevant certifications like Cloudera or Hortonworks. Strong problem-solving abilities, collaboration, and effective communication skills help engineers interpret complex data requirements and work within cross-functional teams. These skills and qualities are crucial for efficiently processing large data sets, ensuring system reliability, and delivering actionable business insights.

Do data engineers use Hadoop?

Data engineers, including Hadoop Big Data Engineers, commonly use Hadoop as a framework for storing and processing large datasets. They often work with related tools like Spark, Hive, and HDFS to build scalable data pipelines and manage big data environments.

What is the salary of Hadoop data engineer?

The salary of a Hadoop Big Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with expertise in related tools like Spark or Kafka may earn higher compensation.

Can I make 200K as a data engineer?

Hadoop Big Data Engineers with extensive experience, advanced skills in tools like Spark and Kafka, and certifications such as Cloudera or Hortonworks can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Entry-level or mid-level data engineers typically earn less, with salaries increasing significantly with expertise and responsibility.

What does a Hadoop Big Data Engineer do?

A Hadoop Big Data Engineer designs, develops, and manages large-scale data processing systems using Hadoop and related big data technologies. They are responsible for building data pipelines that collect, process, and analyze vast amounts of data efficiently. Their work includes configuring Hadoop clusters, writing MapReduce jobs, optimizing data storage, and ensuring data security. They also collaborate with data scientists and analysts to provide accessible and reliable data for business intelligence and analytics.

What engineer makes $500,000 a year?

A highly experienced Hadoop Big Data Engineer with advanced skills in distributed systems, data architecture, and cloud platforms can earn around $500,000 annually, especially in senior or specialized roles at large tech companies or financial institutions. Such roles often require extensive experience, certifications, and a strong understanding of big data tools like Hadoop, Spark, and Kafka.
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Hadoop Big Data Engineer jobs near you
Hadoop/Big-Data Engineer

Hadoop/Big-Data Engineer

Artech

Pennington, NJ • On-site

Other

Posted 4 days ago

Job description

Job Title: Hadoop / Big Data Engineer
Location: Pennington, NJ (Hybrid work mode)
Introduction:
Join our dynamic team as a senior developer, where you will play a pivotal role in architecting and implementing Big Data solutions. We are committed to fostering a diverse and inclusive workplace, welcoming applicants from all backgrounds to contribute their unique perspectives and experiences.
Required Skills & Qualifications
  • Expertise in Hadoop and Spark
  • Proficiency in Kafka
  • Strong programming skills in Python
  • Bachelor's in Computer Science with 8 years or Master's in Computer Science with 6 years of relevant experience
  • Candidate should be ready to work on Artech's W2
Preferred Skills & Qualifications
  • Experience with NoSQL databases
  • Knowledge of UNIX / Shell Scripting
  • Familiarity with Scala
Day-to-Day Responsibilities
  • Develop high-performance and scalable analytics solutions using the Big Data platform
  • Utilize Hadoop stack and storage technologies to design and optimize data processing workflows
  • Implement near real-time and streaming data solutions
  • Collaborate with cross-functional teams to enhance system efficiency
  • Define Big Data strategies and roadmaps for the enterprise
  • Mentor junior team members
Company Benefits & Culture
  • Opportunities for professional growth and development
  • Inclusive and supportive work environment
  • Commitment to work-life balance

For immediate consideration please click APPLY or contact me directly at iksha.karn@artech.com or call me at my work phone 973-967-3378
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About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992

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