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Amazon Big Data Jobs (NOW HIRING)

Big Data Developer

Rockville, MD ยท On-site

$54 - $70/hr

Big Data Developer Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are seeking ... Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, Amazon Q) Preferred ...

Big Data Engineer

Rockville, MD ยท On-site

$56.75 - $75.25/hr

Architect and deploy containerized big data workloads on Amazon EMR on EKS (Elastic Kubernetes Service). * Design and implement Kubernetes-based infrastructure for running Spark applications at scale.

Big Data Engineer

Atlanta, GA ยท On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Big Data Engineer

Atlanta, GA ยท On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

... Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie, Flume, Sqoop Processing ... Amazon Web Services EC2, Elastic MapReduce, Azure) Good to have experience in Application ...

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing ... Development experience with Linux or Unix Experience with Amazon Web Services (AWS) or other cloud ...

Big Data Architect

Bethesda, MD ยท On-site

$68.25 - $87.75/hr

Amazon Web Services EC2, Elastic MapReduce, Azure) * Considerable understanding and experience of ... Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie * Processing & Streaming : Spark ...

Big Data Architect

Bethesda, MD ยท On-site

$68.25 - $87.75/hr

Amazon Web Services EC2, Elastic MapReduce, Azure) * Considerable understanding and experience of ... Big Data : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie * Processing & Streaming : Spark ...

Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL*** o 7 - 10 years+ of Architect level experience with ...

AWS Big Data Engineer

Charlotte, NC ยท On-site

$54.50 - $72/hr

Utilize AWS services like AWS Glue, Amazon EMR, and AWS Lambda to process and analyze large datasets. Data Monitoring and Optimization: Continuously monitor and optimize data pipelines and ...

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Amazon Big Data information

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How much do amazon big data jobs pay per hour?

As of Jul 2, 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 June 2026, with employment types broken down into 4% As Needed, 62% Full Time, 21% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Developer

Techno Talent Inc.

Rockville, MD โ€ข On-site

$54 - $70/hr

Other

Posted 15 days ago


Job description

Big Data Developer
Location: Rockville, MD or Tysons Corner, VA

Work Setting: Onsite

Job Description:

We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions.

Required Skills:
  • 8+ years of Big Data/Data Engineering experience
  • Strong hands-on experience with Apache Spark
  • Hadoop Ecosystem: Hadoop, Hive, Trino
  • Strong programming skills in Python or Scala
  • Advanced SQL (Joins, Window Functions, Aggregations, Query Optimization)
  • Experience building and supporting large-scale ETL/Data Pipelines
  • AWS Services: S3, EMR, Glue, Athena, Lambda
  • Experience troubleshooting Spark jobs, data skew, performance tuning, and large-volume data processing
  • Knowledge of Agile/Scrum development methodologies
  • Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, Amazon Q)
Preferred Skills:
  • EKS / Kubernetes
  • CI/CD Pipelines
  • Test Automation
  • Production Data Pipeline Support
  • AWS Certifications
  • Financial Services Experience