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Hadoop Big Data Engineer Jobs in Decatur, GA (NOW HIRING)

NAVA Software Solutions

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 ...

Arete Technologies, Inc.

Big Data Hadoop

Atlanta, GA · On-site

Lead Big Data engineering team with specialization on data ingestion (from 100+ source systems in ... Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka ...

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years ... Experience with Apache Beam, Spark, or Hadoop ecosystem . * Proficiency in Java, Python, or Scala

Smart IT Frame

AWS Data Engineer

Atlanta, GA · On-site

$80K - $120K/yr

AWS Data Engineer: Location:- Alanta, GA * Qualifications (Data Engineer/Python Developer) * 10+ ... big data technologies, such as Hadoop/EMR, Spark, Hive. * Strong development experience in AWS ...

InterSources Inc

STL BIG DATA

Atlanta, GA · On-site

They are seeking a Lead Data Engineer to design, build, and operationalize large-scale enterprise ... Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform • Experience with Data Lake ...

krg technology inc

Sr. Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

... Senior Big Data Technology Developer will be responsible for technically leading the software ... Hadoop, CI/CD Automation Must have good analysis or problem solving skills Must have good ...

Sonsoft Inc

Big Data/Hadoop Administrator

Atlanta, GA · On-site

Working with data delivery teams to setup new Hadoop users, including access to HDFS, Hive, Pig and MapReduce, etc. Cluster maintenance as well as creation and removal of nodes using tools like ...

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

As of Sep 13, 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.

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.

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:

Hadoop Big Data Engineer jobs near you
Infographic showing various Hadoop Big Data Engineer job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,717 per year, or $54.7 per hour.

Big Data Engineer

Atlanta, GA • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

$53.50 - $71/hr

Full-time

Re-posted 15 days ago

Job description

NAVA Software solutions is looking for a Big Data Engineer
Details:
Big Data Engineer
Location: Atlanta GA - Hybrid
Duration: 12 months
Job Description
The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions. Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms. They must be a very good communicator, both written and verbal, and have some experience working with business areas to translate their business data needs and data questions into project requirements. The candidate will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions and perform data ingestion development and support duties.
Skills and Experience:
Required:
  • 8+ years of overall IT experience
  • 3+ years of experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming
  • Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka
  • Deep knowledge of troubleshooting and tuning Spark applications
  • 3+ years of experience with data ingestion from Message Queues (Tibco, IBM, etc.) and different file formats across different platforms like JSON, XML, CSV
  • 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or
  • 3+ years of experience building, testing, and optimizing 'Big Data' data ingestion pipelines, architectures, and data sets
  • 2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark
  • 3+ years of experience with Cloud platforms e.g. AWS, GCP, etc.
  • 3+ years of experience with database solutions like Kudu/Impala, or Delta Lake or Snowflake or BigQuery
  • 2+ years of experience with NoSQL databases, including HBASE and/or Cassandra
  • Experience in successfully building and deploying a new data platform on Azure/ AWS
  • Experience in Azure / AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue
  • Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series
  • Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog
  • Knowledge of Unix/Linux platform and shell scripting is a must
  • Strong analytical and problem-solving skills

Preferred (Not Required):
  • Strong SQL skills with ability to write intermediate complexity queries
  • Strong understanding of Relational & Dimensional modeling
  • Experience with GIT code versioning software
  • Experience with REST API and Web Services
  • Good business analyst and requirements gathering/writing skills
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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