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Amazon Big Data Jobs (NOW HIRING)

Big Data Engineer II

Dallas, TX · On-site

$55.25 - $73/hr

... big data engineering with AI/ML to revolutionize how AWS processes and reports revenue at global ... Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud ...

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

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Amazon Big Data information

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$15

$62

$88

How much do amazon big data jobs pay per hour?

As of Jul 22, 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
Infographic showing various Amazon Big Data job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 93% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Big Data Hadoop with Cloud Analytics

Big Data Hadoop with Cloud Analytics

Sonsoft Inc

Torrance, CA

Full-time

Posted 9 days ago


Job description

Company Description

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Job Description
  • At least 4+ years of overall design and development experience
  • At least 4+ years of working on data management domain with big data, Oracle, SQL or other database solutions
  • At least 2+ years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana Analytics, Azure Data Lake and other technologies
  • Development experience in Java, Python, Scala
  • Experience in cloud technologies preferred - AWS or Azure.
  • Experience in DevOps technologies preferred
  • Understanding of market and technology trends.
  • Analytical and problem solving skills
Qualifications
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience with Information Technology.
Additional Information

** U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Note:-

  1. This is a Full-Time Permanent job opportunity for you.
  2. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply.
  3. No OPT-EAD, TN Visa & H1B Consultants please.
  4. Please mention your Visa Status in your email or resume.

Sonsoft logo

About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007