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Aws Emr Jobs (NOW HIRING)

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO

$52.25 - $69/hr

Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages ...

Ocelot Consulting

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Use Azure Batch for large-scale, parallel inferencing/vectorization jobs; leverage AWS EMR for distributed data/feature processing in AI pipelines. Develop and Manage Data Pipelines * Build ingestion ...

WISETEK PROVIDERS INC

AI Engineer

Dunn Loring, VA · On-site

$80K - $105K/yr

Use Azure Batch for large-scale, parallel inferencing/vectorization jobs; leverage AWS EMR for distributed data/feature processing in AI pipelines. Develop and Manage Data Pipelines * Build ingestion ...

Elite IT Solutions inc

Senior Data Engineer

Greenville, DE · On-site

$102K - $139K/yr

AWS EKS * AWS EMR * AWS S3 * AWS Aurora * AWS MSK * AWS SNS * AWS SQS * Apache Kafka * Terraform Ideal Candidate * Strong background in data engineering and distributed computing. * Experience ...

WISETEK PROVIDERS INC

AI Engineer

Washington, DC · On-site

$80K - $105K/yr

Use Azure Batch for large-scale, parallel inferencing/vectorization jobs; leverage AWS EMR for distributed data/feature processing in AI pipelines. Develop and Manage Data Pipelines * Build ingestion ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

AWS (EMR, S3, Glue) or GCP (Dataproc, BigQuery) * Programming: Scala/Python/Java * Data Modeling: SQL, NoSQL (HBase, Cassandra) * CI/CD: Git, Jenkins, Terraform * Banking/financial services ...

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Aws Emr information

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How much do aws emr jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for aws emr in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS EMR engineer, and why are they important?

To thrive as an AWS EMR Engineer, you need proficiency in big data processing, strong knowledge of Hadoop and Spark ecosystems, and experience with AWS cloud services, typically supported by a relevant computer science degree. Familiarity with tools like AWS EMR, S3, EC2, and data orchestration frameworks, as well as certifications such as AWS Certified Data Analytics, are commonly required. Strong analytical skills, problem-solving abilities, and effective communication help in optimizing data workflows and collaborating with cross-functional teams. These skills are crucial for building scalable, efficient data solutions and ensuring seamless data processing in cloud environments.

Are AWS EMR jobs remote or on-site?

AWS EMR jobs can be performed remotely or on-site depending on the employer and project requirements. Many roles involve managing and configuring cloud-based clusters, which can often be done remotely with the right access and tools. On-site work may be required for certain positions involving direct hardware management or on-premises integrations.

What is AWS EMR?

AWS EMR (Elastic MapReduce) is a cloud-based service provided by Amazon Web Services for processing and analyzing vast amounts of data using open-source tools such as Apache Spark, Hadoop, Hive, and Presto. It enables users to quickly and easily run big data frameworks to process data across resizable clusters of Amazon EC2 instances. AWS EMR is widely used for data processing, machine learning, log analysis, and data transformation tasks, offering scalability, flexibility, and cost-effectiveness compared to on-premises solutions.

What is the difference between Aws Emr vs Data Engineer?

AspectAws EmrData Engineer
Primary RoleManages and runs big data processing clusters on AWSDesigns, builds, and maintains data pipelines and architectures
Skills & CertificationsAWS certifications, Hadoop, Spark, LinuxSQL, Python, ETL tools, cloud platforms
Work EnvironmentCloud-based, AWS ecosystemVaries: cloud, on-premises, hybrid
Industry UsageData processing, analytics, big data projectsData integration, analytics, machine learning pipelines

While Aws Emr focuses on managing big data clusters on AWS, Data Engineers design and develop data pipelines and architectures across various platforms. Both roles require knowledge of cloud services and data processing tools, but their core responsibilities differ: Aws Emr specialists operate and optimize cloud clusters, whereas Data Engineers build the systems that process and analyze data.

Are AWS EMR jobs still in demand?

AWS EMR (Elastic MapReduce) jobs remain in demand as organizations continue to process large-scale data using cloud-based big data solutions. Skills in cloud computing, data engineering, and familiarity with tools like Hadoop and Spark enhance employability in this field, which is expected to grow with increasing data analytics needs.

What are some common challenges AWS EMR engineers face when managing large-scale data processing clusters?

AWS EMR engineers often encounter challenges such as optimizing cluster performance for cost and speed, managing resource allocation for different workloads, and ensuring data security across distributed systems. Balancing scalability with efficiency can require careful tuning of Spark or Hadoop configurations and monitoring cluster health to prevent bottlenecks. Additionally, engineers frequently collaborate with data scientists and analysts to troubleshoot job failures and streamline data pipelines, making strong communication and problem-solving skills essential.
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Aws Emr jobs near you
Infographic showing various Aws Emr job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 73% Full Time, 14% Part Time, and 9% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.

Site Reliability Engineer (SRE) / Architect

Saransh Inc

Riverwoods, IL • On-site

$59.25 - $78.75/hr

Contractor

Re-posted 16 days ago

Job description

Key Responsibilities
Design and implement SRE strategies to achieve high availability and resiliency.
Work in cloud environments including Red Hat OpenShift Container Platform (OCP) and AWS EMR.
Develop and maintain CI/CD pipelines using Jenkins or similar tools.
Implement monitoring, observability, and performance assessment solutions.
Design for scalability and high availability; conduct performance monitoring and testing.
Automate processes using Java, Bash, Python, Perl, or similar languages.
Manage production environments, firewalls, and networking with confidence.
Apply architectural patterns at scale, including API design and efficient delivery pipelines.
Collaborate within Agile engineering teams.
Deploy, monitor, and analyze systems using tools like Splunk and Datadog, with a focus on predictive analysis.
Utilize automation tools such as Ansible and Terraform.
Required Skills
SRE & DevOps Expertise
AWS & Red Hat OpenShift Container Platform
Java, Linux, and Monitoring Tools