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Hadoop Big Data Engineer Jobs (NOW HIRING)

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

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Hybrid Job Type ... The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive ...

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

Reston, VA · On-site

$58 - $76.75/hr

Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka ... Knowledge of engineering and construction workflows is a plus.

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 ...

Data Engineer/Admin

Franklin, TN · On-site

$55 - $72.75/hr

The role involves working with Hadoop and Big Data technologies, managing AWS cloud data warehouses ... programming and spark-based applications to load streaming data with minimal latency. • Hands on ...

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

Title: Big Data Engineer Location: Pittsburgh, PA Mode: Permanent We are looking for a Big Data ... of Hadoop cluster (Cloudera preferred), with all included services Ability to solve any ongoing ...

Big Data Engineer

Los Angeles, CA · On-site

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral ... Hadoop, HBase, Elastic Search, etc. 2+ years experience with Java Passion for doing research on ...

They are seeking a Big Data Developer with hands-on experience in the Hadoop ecosystem and related technologies. Responsibilities : • Developer with hands-on capacity to develop various facets of ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

Experience with Big data technologies such as Hadoop, Spark, Hive & Trino * Evaluate understanding ... Prompt Engineering: Proficiency in crafting effective prompts for AI coding assistants and analysis ...

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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 Sep 14, 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 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 are the key skills and qualifications needed to thrive as a Hadoop Big Data Engineer?

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.

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.
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Infographic showing various Hadoop Big Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

GCP Data Engineer

Irving, TX • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees

$109K - $132K/yr

Full-time

Re-posted 27 days ago


Job description

Job Title: GCP Data Engineer
work Location: Irving, TX
Duration: 8+ Months
Job Description:
  • 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
  • Experience in developing both batch and real-time streaming data pipelines
  • Python/Shell scripting
  • Expertise in SQL
  • Experience in Hive, Impala, Ozone, Iceberg
  • Oozie and Airflow scheduler hands on experience
  • Hadoop fundamental concepts
  • CICD
  • Cloudera ecosystem experience