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Hadoop Big Data Engineer Jobs (NOW HIRING)

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 ...

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Perform offline analysis of large data sets using components from the Hadoop ecosystem. Evaluate ... Big Data Engineer Flume Storm Hive Additional Information Multiple Openings

... big 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 ...

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Big Data Engineer Location: Jersey City, NJ Type: Full-Time Description : We are seeking an ... The ideal candidate should have strong expertise in Hadoop, Spark, Hive, and distributed computing ...

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

Experience with SPARK Structured Streaming, Hadoop/Big Data, and Distributed Systems * Working ... Hands-on programming experience in at least one of the following: Scala, Python, PHP, or Shell ...

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud environment, specially GCP

Senior Big Data Engineer

Duluth, GA

$51.25 - $68/hr

Leveraging Aster/Hadoop and SQL data platforms, data mining, visualization and machine learning ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Big Data Engineer

$57 - $75.50/hr

We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to ... Work hands-on with Hadoop, Apache Spark, and other big data tools to support data processing and ...

Skill Hadoop Big Data Big Data Engineer Flume Storm Hive Location Bridgewater, NJ Total Experience 2 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT ...

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of ... Hadoop, HDFS, Spark, MapReduce framework Good Scala, Pyspark, Java coding experience for REST API ...

Senior Big Data Architect

Rockville, MD · On-site

$68.50 - $91.75/hr

Skill Hadoop Big Data Engineer Senior Director Manager Location Rockville, MD Total Experience 8 yrs. Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description GC can ...

Minimum 4 years experienced in Administration activities in Big Data Technologies Hadoop, Hortonworks (with Spark, Scala) * At least 4 years of experience in Data warehousing * At least 2 years of ...

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Hadoop Big Data Engineer information

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How much do hadoop big data engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for hadoop big data engineer in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

What are some common challenges Hadoop Big Data Engineers face when working with large-scale data processing systems?

Hadoop Big Data Engineers often encounter challenges such as optimizing the performance of distributed data processing jobs, ensuring data quality and consistency across clusters, and managing resource allocation effectively in multi-tenant environments. Troubleshooting slow-running jobs and handling unexpected failures in the Hadoop ecosystem can be complex, requiring strong problem-solving skills and familiarity with tools like YARN, Hive, and Spark. Collaboration with data scientists, analysts, and DevOps teams is essential to address these challenges and ensure smooth data pipeline operations.

What are the key skills and qualifications needed to thrive as a Hadoop Big Data Engineer, and why are they important?

To thrive as a Hadoop Big Data Engineer, you need expertise in distributed computing, data modeling, and a strong background in programming languages such as Java, Scala, or Python, often supported by a degree in computer science or a related field. Familiarity with Hadoop ecosystems like HDFS, MapReduce, Hive, Pig, Spark, and tools such as Sqoop, Flume, and workflow schedulers is typically required, along with relevant certifications like Cloudera or Hortonworks. Strong problem-solving abilities, collaboration, and effective communication skills help engineers interpret complex data requirements and work within cross-functional teams. These skills and qualities are crucial for efficiently processing large data sets, ensuring system reliability, and delivering actionable business insights.

Do data engineers use Hadoop?

Data engineers, including Hadoop Big Data Engineers, commonly use Hadoop as a framework for storing and processing large datasets. They often work with related tools like Spark, Hive, and HDFS to build scalable data pipelines and manage big data environments.

What is the salary of Hadoop data engineer?

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

Can I make 200K as a data engineer?

Hadoop Big Data Engineers with extensive experience, advanced skills in tools like Spark and Kafka, and certifications such as Cloudera or Hortonworks can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Entry-level or mid-level data engineers typically earn less, with salaries increasing significantly with expertise and responsibility.

What does a Hadoop Big Data Engineer do?

A Hadoop Big Data Engineer designs, develops, and manages large-scale data processing systems using Hadoop and related big data technologies. They are responsible for building data pipelines that collect, process, and analyze vast amounts of data efficiently. Their work includes configuring Hadoop clusters, writing MapReduce jobs, optimizing data storage, and ensuring data security. They also collaborate with data scientists and analysts to provide accessible and reliable data for business intelligence and analytics.

What engineer makes $500,000 a year?

A highly experienced Hadoop Big Data Engineer with advanced skills in distributed systems, data architecture, and cloud platforms can earn around $500,000 annually, especially in senior or specialized roles at large tech companies or financial institutions. Such roles often require extensive experience, certifications, and a strong understanding of big data tools like Hadoop, Spark, and Kafka.
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What cities are hiring for Hadoop Big Data Engineer jobs? Cities with the most Hadoop Big Data Engineer job openings:
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What job categories do people searching Hadoop Big Data Engineer jobs look for? The top searched job categories for Hadoop Big Data Engineer jobs are:
Infographic showing various Hadoop Big Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.
Hadoop Big Data Developer

Full-time

Posted 6 days ago


Job description

Job 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 experience in LINUX, Java/J2EE, SOA and Oracle platforms
  • Experience processing large amounts of structured and unstructured data via MapReduce.
  • 1 - 2 Years of building and coding applications Using Hadoop Components - HDFS, Hbase, Hive, Kafka, Storm etc
  • 1 - 2 Years Of Coding Java MapReduce, Python, Pig Programming, Hadoop Streaming, HiveQL


Additional Information

Thanks & Regards

Vik

Ariston Tek Inc.,

Phone Number: 201-448-9986