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Hadoop Data Engineer Jobs (NOW HIRING)

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 ...

Ruri Software Technologies LLC

Java Hadoop Developer

... or big data engineer. * Working experience Micro services, Spring Boot , HTML, CSS * Advanced knowledge of the hadoop ecosystem and its components. * In-depth knowledge of Hive, Scala, Kafka, HBase ...

Maayee Information Technology Pvt Ltd

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 ...

AHEAD

Senior Technical Consultant - Data & Analytics

$160K - $200K/yr

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 ...

Qode

OH · On-site

$110K - $132K/yr

Data Engineer Location : Pittsburgh, PA / Cleveland, OH / Dallas, TX Experience : 4-8 Years Job ... The candidate should possess hands-on experience with Python, PySpark, Java, Kafka, Hadoop, REST ...

New

Incedo

Hadoop Developer

Wilson, NC · On-site

... 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 ...

Incedo

Hadoop Developer

Wilson, NC

... 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 ...

Alliance Sourcing Network

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The ideal candidate must have 8+ years of hands-on data engineering experience building large-scale ETL pipelines using Apache Spark, Hadoop, Python, and SQL. They also need a strong background in ...

New

Delan Associates, Inc.

Data Engineer II

Arlington, VA · On-site +1

$131K - $158K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in ... Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ...

New

Delan Associates, Inc

Data Engineer II

Arlington, VA

$131K - $158K/yr

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in ... Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the ...

New

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 ...

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 ...

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Hadoop Data Engineer information

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$92

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 Platform Support Engineer

Hadoop Platform Support Engineer

Inficare Technologies

Charlotte, NC • On-site

$58/hr

Contractor

Posted 20 days ago

Job description

Job Title: Hadoop Platform Support Engineer
Location: Charlotte, NC
Job Type: 12+ Month Contract
Job Overview
Our client is seeking a skilled Data Engineer with a strong focus on Hadoop Distributed File System (HDFS) to join their team in Charlotte, NC. The ideal candidate will be responsible for the support and maintenance of the Hadoop platform, ensuring optimal performance and reliability. This is an L3 platform support role - candidates from a platform operations/support background are strongly preferred over development or build profiles.
Key Responsibilities
  • Provide L3 support for the Hadoop platform, troubleshooting and resolving issues to ensure high availability and performance
  • Manage and maintain HDFS, ensuring data integrity and security
  • Collaborate with data scientists and analysts to understand data requirements and optimize data pipelines
  • Implement and monitor data ingestion processes for efficient data flow into the Hadoop ecosystem
  • Integrate GCP cloud-based solutions with on-premises Hadoop infrastructure
  • Develop and maintain documentation for data engineering processes, data models, workflows, and system configurations
  • Participate in capacity planning and performance tuning of the Hadoop environment
Required Skills
  • Strong knowledge of Hadoop Distributed File System (HDFS) and its architecture
  • Hands-on experience with L3 support and maintenance of Hadoop platforms
  • Proficiency in managing and optimizing data workflows within the Hadoop ecosystem
  • Familiarity with Google Cloud Platform (GCP) and its data services
  • Experience with data ingestion tools and techniques

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