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Amazon Big Data Jobs (NOW HIRING)

Gamen Group

Cloudera * Hadoop * Big Data

Boston, MA · On-site

We are looking to speak to Big Data Architects or developers, or in fact, anyone who has ... Amazon's EMR, Cloudera... Linux, C, C++, Java, Perl, Python, RoR, Node.js and more * Candidate ...

Atria Group LLC

Big Data Analytics Developer

Saint Louis, MO

$51.50 - $66.75/hr

Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ... Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as ...

Jobsbridge

Big Data Architect

Boston, MA

$69.25 - $89/hr

... Amazon Web Services, Google, Azure - Experience managing the full lifecycle of a Hadoop Solution ... big data solutions like Hadoop, MapReduce, Hive, HBASE, MongoDB, Cassandra, Spark, Impala, Oozie ...

R2 Technologies Corporation

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

... Amazon Web Services or Microsoft Azure. Work Experience: • Demonstrated experience designing and building Big Data cloud solutions in higher languages such as python/Java. • Experience working ...

Mackenzie Health Care

Big Data Architect

New York, NY

$69.75 - $89.75/hr

Company needs Architect with Big Data Technologies experience (BigTable, Hadoop/Hbase, Cassandra ... infrastructure (Amazon Web services EC2, Elastic MapReduce) and considerations for scalable ...

Mackenzie Health Care

Big Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

For this position you must have a passion for Big Data technologies, and have an excellent ... infrastructure (Amazon Web services EC2, Elastic MapReduce) and considerations for scalable ...

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How much do amazon big data jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for amazon big data in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working with Amazon Big Data solutions, and how can they be addressed?

Professionals working with Amazon Big Data tools, such as AWS EMR, Redshift, and S3, often encounter challenges like managing data scalability, optimizing query performance, and ensuring data security. Addressing these issues typically involves continuous tuning of data storage and processing configurations, implementing robust monitoring and logging, and collaborating closely with cloud security teams. Staying updated with AWS service enhancements, leveraging automation tools, and participating in cross-functional meetings can also help overcome these challenges and ensure efficient data workflows.

What is an Amazon Big Data Engineer?

An Amazon Big Data Engineer is a technology professional who designs, builds, and manages large-scale data processing systems using Amazon Web Services (AWS) and related big data tools. They work with massive datasets, ensuring data is collected, stored, and analyzed efficiently to support business decisions. Their responsibilities include creating data pipelines, optimizing data storage, and implementing analytics solutions using AWS services like Amazon Redshift, EMR, and S3. Amazon Big Data Engineers often collaborate with data scientists, analysts, and other engineers to deliver scalable and reliable data solutions.

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

To thrive as an Amazon Big Data Engineer, you need strong programming skills (such as Python, Java, or Scala), expertise in data modeling, and experience with distributed data processing, usually backed by a degree in computer science or a related field. Proficiency with AWS big data tools like Redshift, EMR, S3, and data warehousing solutions, as well as familiarity with technologies like Hadoop, Spark, and SQL, is essential. Analytical thinking, problem-solving, and effective communication are key soft skills for collaborating with teams and translating data insights into business value. These competencies ensure efficient management of large datasets, reliable data pipelines, and data-driven decision-making at scale.
More about Amazon Big Data jobs
What job categories do people searching Amazon Big Data jobs look for? The top searched job categories for Amazon Big Data jobs are:
Infographic showing various Amazon Big Data job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 12% Full Time, 85% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Cloudera * Hadoop * Big Data

Gamen Group

Boston, MA • On-site

Full-time

Posted 22 days ago

Job description

Are you a technology enthusiast that enjoys researching and selecting new technologies? Are you committed to delivering efficient and elegant technology-based solutions? Are you fascinated by BIG DATA, and the tools that enable previously thought useless data, to now be valuable?


If you have passion AND the following skills, please contact us!


We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.

Requirements (various combinations are acceptable):


  • Hadoop (and Hadoop stack tech, Hive, MapReduce, HBase, Pig… ), EC2, Cassandra, etc.
    Amazon’s EMR, Cloudera… Linux, C, C++, Java, Perl, Python, RoR, Node.js and more

  • Candidate’s knowledge and skills should also span the Cloud Computing World.
    Experience with Map/Reduce technologies

    • Experience with one or more of the following languages:

      • Hadoop, Java, JavaScript, HTML, XML, Oracle, MySQL, PHP, Perl, .net, C, C++, C#, XML/XSD/XSLT, JSP/HTML, Groovy, Python for Java, Java Spring Framework. Apache, MapReduce, HBase, ZooKeeper



    • Experience with one or more of the following operating systems:

      • Redhat, CentOS, Ubunto, UNIX, LINUX, SunOS, MS Windows, VMWare ESX, Solaris 8-10, SE LINUX



    • Experience with one or more of the following Application/Database Servers:

      • Apache Hadoop, JBoss, Oracle, PostgreSQL, MySQL, SQL Server 2005



    • Has experience and in-depth knowledge in Big Data Solutions and Hadoop ecosystem including MapReduce, Hive, Pig, Impala

    • Experience with any Hadoop distribution/environment

      • AWS, Datastax, HortonWorks, MapR, Cloudera, etc



    • Experience writing quality map/reduce/serde code to parse/process data streams using Java/Python/C

    • Has experience in any of the NoSQL databases: MongoDB; CouchDB; DynamoDB; Cassandra; HBase

    • Hands-on experience with any of the ETL (Extract-Transform-Load) tools (e.g Informatica, Datastage, Talend, Kettle, Ab-Initio.)

    • Hands-on experience with Implementing Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)

    • Previous experience with any of the RDBMS (Teradata, DB2, MySQL, SQL Server)




Required Education:


BS in Computer Science is a plus, but not a must. However, candidates should have strong knowledge of CS fundamentals, data structures, algorithms, memory management and more.
Desired Certifications:

Cloudera Certified Professional (CCP): Data Scientist
CCDH: Cloudera Certified Developer for Apache Hadoop
CCAH: Cloudera Certified Administrator for Apache Hadoop
CCSHB: Cloudera Certified Specialist in Apache HBase