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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 · On-site

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

Sarian, Inc.

Hadoop developer

Charlotte, NC · 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 ...

Futran Tech Solutions Pvt. Ltd.

Sr Hadoop Developer

... 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 ...

Roberts Recruiting

Senior Big Data Engineer

Cambridge, MA

$61 - $80.50/hr

We are looking for a Senior Big Data Engineer to join our Big Data Analytics Platform team. In this ... Experience in Hadoop Platform Security and Hadoop Data Governance topics * Experience in triaging ...

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How much do hadoop data engineer jobs pay per hour?

As of Jun 9, 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.

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:
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Hadoop Data Engineer jobs near you
Hadoop Data Engineer

Hadoop Data Engineer

Strategic Staffing Solutions

Charlotte, NC • Hybrid

Other

Posted 23 hours ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Hadoop Data Engineer Contract Length: 12+ Month contract Hybrid Work (Some on site work) Location: Charlotte, NC We are seeking a skilled Hadoop Data Engineer to design, build, operate, and optimize large-scale distributed data platforms. This role focuses on supporting and enhancing HPE MapR-based Hadoop ecosystems, ensuring high availability, performance, security, and reliability for enterprise data workloads. Key Responsibilities Consult on complex initiatives with broad impact and large-scale planning for Software Engineering Review and analyze complex, multi-faceted, larger scale or long-term Software Engineering challenges requiring in-depth evaluation of multiple factors, including intangible or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of function, policies, procedures, and compliance requirements Strategically collaborate and consult with client personnel Required Qualifications 5+ years of Software Engineering experience, or equivalent Strong hands-on experience with Hadoop distributions, specifically HPE MapR Deep understanding of distributed systems, data storage, and cluster computing concepts Proficiency in Linux/Unix system administration Experience with at least one programming or scripting language: Python, Java, Scala, or Bash Working knowledge of Spark and batch/stream processing paradigms Experience troubleshooting performance and stability issues in large-scale environments Experience Hadoop: 2-4 years

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