Hadoop Big Data Engineer information
See Decatur, GA salary details
$15.28 - $20.70
0% of jobs
$20.70 - $26.12
0% of jobs
$26.12 - $31.53
0% of jobs
$31.53 - $36.95
0% of jobs
$36.95 - $42.37
3% of jobs
$42.37 - $47.79
4% of jobs
$50.95 is the 25th percentile. Wages below this are outliers.
$47.79 - $53.21
25% of jobs
The median wage is $55.16 / hr.
$53.21 - $58.63
41% of jobs
$58.63 - $64.05
22% of jobs
$64.05 - $69.47
2% of jobs
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 Decatur, GA is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $58.89 per hour, depending on experience, location, and employer.
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.
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.
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 job categories do people searching Hadoop Big Data Engineer jobs in Decatur, GA look for?
The top searched job categories for Hadoop Big Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Hadoop Big Data Engineer jobs?
Cities near Decatur, GA with the most Hadoop Big Data Engineer job openings:
