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Hadoop Big Data Engineer Jobs (NOW HIRING)

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

... as Hadoop, Spark etc Responsibilities: • Design, develop, and maintain large-scale data ... Big Data technologies AI Skills Prompt Engineering: Proficiency in crafting effective prompts for ...

Senior Big Data Engineer

New York, NY · On-site +1

$170K - $180K/yr

Senior Big Data Engineer New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) U.S. Remote At ... Hadoop / MapR * Aerospike * Build highly available, scalable, and resilient data infrastructure ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or * 3+ years of experience building ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical platform for complex data systems. * Document technical ...

Sr.Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Sr. Big Data Engineer Location: Phoenix, AZ Job type: FTE Big Data exp.: 3+ years. Responsibilities ... data processing (GB's/ PB's) over various NoSQL, Hadoop, and MPP-based products Active ...

Big Data Engineer

Reston, VA

$58 - $76.75/hr

Java, MapReduce, Python, Pig Programming, Hadoop Streaming, HiveQL * Experience developing RESTful ... Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands ...

We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

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 ...

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

... Big Data processing technologies (Hadoop, Spark,HBase, Cassandra, other NO SQL solutions ... NET, Java EE, Ruby or other object oriented programming language Familiarity with map data ...

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications ... Hadoop echo system, Spark, Databricks, and Azure-based services * Experience with medium to large ...

Showing results 41-60

Hadoop Big Data Engineer information

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

As of Aug 13, 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?

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 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.
More about Hadoop Big Data Engineer jobs
What cities are hiring for Hadoop Big Data Engineer jobs? Cities with the most Hadoop Big Data Engineer job openings:
What states have the most Hadoop Big Data Engineer jobs? States with the most job openings for Hadoop Big Data Engineer jobs include:
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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data Engineer

Ocelot Consulting

Creve Coeur, MO • On-site

$52.25 - $69/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago


Job description

Company Description

Ocelot Consulting specializes in cloud technologies, custom application development and enterprise security. Ocelot Consultants are certified AWS Solution Architects and have experience migrating enterprise applications and data for Fortune 500 companies.

Job Description

As a big data engineer you will develop innovative software using state of the art big data streaming architectures.

Qualifications

Requirements

  • Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra
  • Extensive ETL experience
  • General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.)
  • Database Technology - (Postgres, Mongo, Cassandra, Elastic Search, Oracle, etc.) as well as SQL and related query languages

Nice to have

  • Data lakes
  • Experience with cloud big data technology (AWS Data Pipeline, GCP DataFlow, Azure HDInsight)
  • Experience with Business Intelligence Platforms Experience with modern JavaScript
  • API Development (proper microservice separation, HTTP verb usage)
  • DevOps - understanding of OS and Container Management
    • Distributed microservice architectures providing elasticity, redundancy, failover, and intelligent routing.
    • Docker/Kubernetes/Cloud Foundry experience
Additional Information

Standard Benefits Program (medical, dental, retirement, PTO, etc.)

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