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Amazon Big Data Jobs (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 ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Arka Infotech Inc

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

Big Data / Analytics Developer 12 Months+ St. Louis, Missouri 08-03-2015 Senior Big Data Analytics ... Must be well-versed in writing Scala architecture on OS X and AWS (Amazon Web Services), as well as ...

Jobsbridge

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 ...

krg technology inc

Big Data Lead

Bethesda, MD · On-site

... 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 ...

krg technology inc

Big Data Architect

Bethesda, MD

$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 ...

krg technology inc

Big Data Architect

Bethesda, MD · 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 ...

krg technology inc

Big data Architect

Baltimore, MD · On-site

$63.25 - $81.50/hr

... Amazon Web Services. Lead the definition of guidelines, standards, strategies, security policies and change management policies to support the Big Data platforms. Research and evaluate technical ...

Roberts Recruiting

Big Data Architect

Framingham, MA

$65.50 - $84.25/hr

The emergence of big data is creating opportunities to develop data platforms that turn big data ... Strong experience with large cloud-compute infrastructure solutions such as Amazon Web Services ...

Roberts Recruiting

Senior Big Data Engineer

Cambridge, MA

$61 - $80.50/hr

We are looking for a Senior Big Data Engineer to join our Big Data Analytics Platform team. In this ... Strong experience with large cloud-compute infrastructure solutions such as Amazon Web Services ...

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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.
Big Data Engineer

Big Data Engineer

NAVA Software Solutions

Atlanta, GA • On-site

$53.50 - $71/hr

Full-time

Posted 11 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

Social media

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