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Hadoop Data Engineer Jobs (NOW HIRING)

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... SCRIPTING SQL APACHE HADOOP MAPREDUCE DATA MODELS DATA QUALITY DATA WAREHOUSE DATABASE DATABASES ...

Data Engineer

Quincy, MA · On-site

$120K - $144K/yr

Job tittle - Data Engineer Duration: Full-time Location - Quincy, MA (Onsite) Data Engineer for databricks/ Hadoop/ scala Hadoop, Databricks, Scala Senior/Lead developer position who has extensive ...

Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop) * Engineers API's for returning data from these structures to the Enterprise Applications * Leverages the ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Big Data - Hadoop, Hive, Spark Public cloud - GCP Programming - Java, Python, Scala, SQL Data base - MySQL, others Description: Designs, develops, and implements Hadoop eco-system based applications ...

... a data engineer/solution architect designing and delivering large scale distributed software ... Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc Strong hands-on experience of ...

... a data engineer/solution architect designing and delivering large scale distributed software ... Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc • Strong hands-on ...

Data Engineer

San Bruno, CA

$136K - $164K/yr

Data Engineer LOCATION:San Bruno, CA Duration: 6 to 12+ Months Rate: DOE Note: Looking for a Data ... Designs, develops, and implements Hadoop eco-system based applications to support business ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer LOCATION:Dallas TX Duration: 6 to 12+ Months Rate: DOE Note: Skills * Demonstrate ... Specialize in providing big data solutions using Hadoop, MapReduce, Hive, Apache Spark, Pig, etc.

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Hadoop, Apache Spark, Kafka, etc. Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. (Nice to have). Experience ...

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 ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

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

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

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

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

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

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Designs, develops, and implements Hadoop eco-system based applications to support business ... Remote is fine but preferably hybrid data engineer with more than 4-5 yrs of exp Required ...

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Hadoop Data Engineer information

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$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:

$123K - $148K/yr

Contractor

Posted 5 days ago


Job description

Company Description

Maayee information Technology.

Job Description

Data Engineer
Duties: 
Apply proven expertise and build high-performance, scalable data warehouse application
Securely source external data from numerous global partners
Intelligently design data models for optimal storage and retrieval
Deploy inclusive data quality checks to ensure high quality of data
Optimize existing pipelines and implement new ones, maintenance of all domain-related data pipelines
Ownership of the end-to-end data engineering component of the solution
Collaboration with the program's SMEs, data scientists
Data Engineer will rotate on an On-Call shift as needed to support the team. 
Skills: 
5+ years' experience in data engineering, proven expertise of applying DWH/ETL best practices
proficiency in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive)
competence with relational databases (Oracle, MySQL)
experience working with enterprise DE tools, ability to learn in-house DE tools quickly
coding and scripting experience with Python, Java, PHP, SQL, CLI
Keywords: 
Education: 
BS/MS in Computer Science or a related technical field
Skills and Experience:
Required Skills:  
CODING 
ENGINEER 
ETL 
HIVE 
MYSQL  
Additional Skills: 
SCRIPTING 
SQL 
APACHE HADOOP MAPREDUCE 
DATA MODELS 
DATA QUALITY 
DATA WAREHOUSE 
DATABASE 
DATABASES 
EXTRACT, TRANSFORM, AND LOAD 
HADOOP 
LAMP 
LAMP STACK 
MAINTENANCE 
MAPREDUCE 
ORACLE 
QUALITY CHECKS  

Additional Information

All your information will be kept confidential according to EEO guidelines.