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Hadoop Data Engineer Jobs (NOW HIRING)

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Hadoop Data Engineer

Iselin, NJ · On-site

Data engineer Location: Need to come in hybrid 3 times a week too Iselin, NJ Need to come onsite for final or an Apex Local office for final Needs: Hadoop AWS Spark PySpark Java Python Scala Job ...

Palnar

Hadoop Data Engineer

Austin, TX · On-site

5+ years of development and maintenance experience with Hadoop eco-system (Spark, Oozie, HDFS, Yarn, Hive) with experience on real-time & stream processing systems. Good knowledge of Java is needed ...

Ventures Unlimited Inc

Hadoop Data Admin

Schaumburg, IL · On-site

Hadoop Data Admin Location : Schaumburg, IL Type : Full Time Permanent Responsible for Data pipeline management, cross cluster data flows and data management. Responsible for Daily reporting of data ...

Sarian, Inc.

Big Data, Hadoop Developer

Newark, DE · On-site

... 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 ...

Infojini Inc

Hadoop Administrator

Raleigh, NC

Hadoop Administrator DURATION : 6 Months LOCATION : Raleigh NC The administrator will manage ... engineers in the planning, design, development, and utilization of electronic data processing ...

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How much do hadoop data engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for hadoop data 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 are the key skills and qualifications needed to thrive as a Hadoop Data Engineer, and why are they important?

To thrive as a Hadoop Data Engineer, you need strong programming skills (especially in Java, Python, or Scala), a solid understanding of distributed computing concepts, and a background in computer science or related fields. Familiarity with Hadoop ecosystem tools like HDFS, Hive, Pig, Spark, and workflow schedulers such as Oozie, as well as knowledge of big data certifications (e.g., Cloudera Certified Associate), are typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business requirements into technical solutions. These skills and qualifications are essential for efficiently processing large datasets, ensuring data integrity, and delivering scalable data solutions that support organizational goals.

What are Hadoop Data Engineers?

Hadoop Data Engineers are IT professionals who design, build, and maintain large-scale data processing systems using the Hadoop ecosystem. They are responsible for developing and managing complex data pipelines, ensuring the efficient storage, processing, and retrieval of big data. Their work involves using tools like HDFS, MapReduce, Hive, and Spark to process massive datasets, often in support of data analytics or machine learning initiatives. Hadoop Data Engineers also optimize data workflows, troubleshoot issues, and collaborate with data scientists and analysts to deliver reliable data solutions.

What are some typical challenges a Hadoop Data Engineer faces when managing large-scale data pipelines?

Hadoop Data Engineers often encounter challenges such as optimizing data processing jobs for performance, ensuring data integrity across distributed systems, and managing the scalability of clusters as data volumes grow. Troubleshooting job failures due to resource constraints or data inconsistencies is also common. Additionally, collaborating with data scientists and analysts to ensure data is transformed and made accessible in a timely manner is a key part of the role.

Can I make 200K as a data engineer?

Hadoop Data Engineers with extensive experience, advanced skills in big data tools, and certifications can potentially earn salaries around or above $200,000, especially in high-cost-of-living areas or senior roles. However, salaries vary based on location, industry, company size, and individual expertise, with entry-level positions typically earning less than this amount.

What is the salary of Hadoop data engineer?

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

Do data engineers use Hadoop?

Yes, data engineers often use Hadoop as part of their data processing and storage workflows. Hadoop's ecosystem, including tools like HDFS, MapReduce, and Hive, is commonly employed to handle large-scale data ingestion, transformation, and analysis tasks performed by data engineers.

What engineer makes 500,000 a year?

A senior or specialized Hadoop Data Engineer with extensive experience, advanced skills in big data tools, and certifications can potentially earn $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require expertise in distributed systems, cloud platforms, and data architecture, along with leadership responsibilities. Compensation at this level is typically achieved through a combination of salary, bonuses, and stock options.

What is the difference between Hadoop Data Engineer vs Data Analyst?

AspectHadoop Data EngineerData Analyst
Required SkillsBig data tools, Hadoop ecosystem, SQL, Java/ScalaData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, big data infrastructureBusiness units, reporting tools, data visualization platforms
CertificationsHadoop certifications, cloud certificationsNone specific, often data analysis or visualization certifications

The main difference between a Hadoop Data Engineer and a Data Analyst lies in their focus: Hadoop Data Engineers build and maintain big data infrastructure using Hadoop and related tools, while Data Analysts interpret data to generate insights using analysis and visualization tools. Both roles require strong SQL skills, but the engineering role emphasizes big data technologies and infrastructure development.

More about Hadoop Data Engineer jobs
What states have the most Hadoop Data Engineer jobs? States with the most job openings for Hadoop Data Engineer jobs include:
What job categories do people searching Hadoop Data Engineer jobs look for? The top searched job categories for Hadoop Data Engineer jobs are:
Hadoop Data Engineer jobs near you
Infographic showing various Hadoop Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $131,458 per year, or $63.2 per hour.

Hadoop Data Engineer

Tror AI for everyone

Scottsdale, AZ • On-site

Contractor

Re-posted 21 days ago

Job description

Job Role: Hadoop Data Engineer

Job Location:  Scottsdale AZ (100%)

Job Type: Contract

Note: Need 10+ years of experience resumes.

Job Description:

  • Strong Experience in Scala, Spark, Hive SQl, Hadoop and Kafka
  • Proficiency in Hive and SQL optimization.
  • Understanding of distributed systems and big data architecture.
  • Knowledge of streaming frameworks (Spark Streaming, Kafka Streams).
  • Familiarity with data partitioning, compression, and serialization formats.