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Hadoop Data Engineer Jobs (NOW HIRING)

Redolent, Inc

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION: Sunnyvale, CA Duration: 6 to 12+ Months Description: A ccelerate migration ... Designs, develops, and implements Hadoop eco-system based applications to support business ...

Redolent, Inc

Data Engineer

Carlsbad, CA

$118K - $142K/yr

Data Engineer LOCATION:Carlsbad, CA Duration: 6 to 12+ months Rate: DOE Required: 1. Proficient ... and implements Hadoop eco-system based applications to support business requirements. Follows ...

InterSources

Data Engineer

Irving, TX · Hybrid

$109K - $132K/yr

Hadoop, Hive & Spark Framework Responsibilities: * Experience with big data processing and ... Strong programming skills in Python and SQL. * Experience with big data technologies like Hadoop ...

Sarian, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Redolent, Inc

Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... Designs, develops, and implements Hadoop eco-system based applications to support International ...

TriOptus LLC

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

This hybrid role offers an exciting opportunity for candidates with hands-on experience in Hadoop, Apache Spark, and other key technologies. As a Data Engineer, you will play a critical role in the ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer Minneapolis, MN, Long Term Minimum 5 - 6 years of hands on experience in Core Java and Hadoop development. Responsibilities: * Develop and integrate software applications using suitable ...

SARIAN Co

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Prophecy Technologies

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Key Responsibilities Data Engineering & Pipeline Development ... Design, develop, and maintain scalable data pipelines across on-prem Hadoop and AWS cloud ...

First Soft Solutions

Sr. Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.) * Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning * Integrate data from multiple sources including ...

Software Technology Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Provide subject matter expertise and hands on delivery of data capture, curation and ... Architecting and operating large production Hadoop/NoSQL clusters on premise or using Cloud ...

Collabera Technologies

Data Engineer

Chicago, IL

$72 - $73/hr

Data Engineer Contract: Chicago, Illinois, US Salary Range: 72.00 - 73.00 | Per Hour Job Code ... Hadoop Ecosystem & Big Data Technologies (Kafka, Hive, HBase, MapReduce, Cloudera) What We're ...

Redolent, Inc

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Data Engineer LOCATION:Sunnyvale, CA Duration: 6 to 12+ Months Rate: DOE Client Note: 1. Experience ... Designs, develops, and implements Hadoop eco-system based applications to support business ...

First Soft Solutions

Sr. Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.) * Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning * Integrate data from multiple sources including ...

Collabera Technologies

Data Engineer

Charlotte, NC · On-site

$72 - $73/hr

Data Engineer Contract: Charlotte, North Carolina, US Salary Range: 72.00 - 73.00 | Per Hour Job ... Hadoop Ecosystem & Big Data Technologies (Kafka, Hive, HBase, MapReduce, Cloudera) What We're ...

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Hadoop Data Engineer information

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$20

$63

$92

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:
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
Data Engineer

Data Engineer

Redolent, Inc

Sunnyvale, CA

$134K - $161K/yr

Other

Posted 10 days ago

Job description


One of our direct client is urgently looking for a Data Engineer @ Sunnyvale CA
TITLE: Data Engineer
LOCATION: Sunnyvale, CA
Duration: 6 to 12+ Months
Description:
Accelerate migration of legacy on-prem Hive/Spark/Airflow pipelines and workloads to public cloud, leveraging GCP, BigQuery and DataProc to achieve cost efficiencies and acceleration of execution along with improved SLAs and Data Quality.
Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.
Experience/Skills Required:1. Bachelors degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related2. 3+ years of solid Java and 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase3. Hands on experience with Unix, Teradata and other relational databases. Experience with @Scale a plus.4. Strong communication and problem-solving skills
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

Social media

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