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Aws Emr Engineer Jobs (NOW HIRING)

1 point system

Data QA

New York, NY · Remote

$117K - $140K/yr

... Engineer with strong experience in testing data pipelines and validating large-scale data processing platforms. The ideal candidate will have hands-on expertise with Databricks, AWS EMR, or Apache ...

1 point system

Java Developer

Riverwoods, IL · On-site

$53 - $68.50/hr

... Engineer. * Strong proficiency in Java 21, Spring Boot, RESTful APIs, and microservices. * Hands-on experience with AWS, including EMR, Spark, S3, Lambda, CloudWatch, or related services. * Solid ...

USM

AWS Developer - EAD or GC or USC ONLY

Dayton, OH · On-site

... engineer using java or python, AWS cloud exp, Spark Description Apply the principles of computer ... AWS - Required AWS EMR AWS SQS Hadoop or like MapReduce - Required YARN Kafka or like Streaming ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

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 ...

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 ...

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 ...

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How much do aws emr engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for aws emr engineer in the United States is $47.67, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $61.06 per hour, depending on experience, location, and employer.

What is an AWS EMR engineer?

AWS EMR Engineers are professionals who specialize in designing, implementing, and managing big data solutions using Amazon Web Services Elastic MapReduce (EMR). They work with large-scale data processing frameworks like Apache Hadoop, Spark, and Hive on the AWS EMR platform to help organizations analyze and process vast amounts of data efficiently. These engineers are responsible for setting up EMR clusters, optimizing performance, ensuring data security, and integrating EMR with other AWS services. Their expertise helps companies leverage cloud-based data analytics for business insights and decision-making.

What are some common challenges AWS EMR engineers face when optimizing big data workflows?

AWS EMR Engineers often encounter challenges related to scaling clusters efficiently, managing costs, and ensuring job reliability. Balancing compute resources to avoid over-provisioning while meeting performance needs can be tricky, especially with varying data volumes and workloads. Additionally, troubleshooting Spark or Hadoop job failures and tuning configurations for optimal performance require a deep understanding of both cloud infrastructure and big data frameworks. Collaboration with data scientists and analysts is also key to align technical solutions with business requirements.

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 expertise in big data analytics, Hadoop ecosystem tools, and cloud computing, usually backed by a degree in computer science or related field. Familiarity with AWS services like EMR, S3, IAM, as well as scripting languages such as Python or Scala, and relevant certifications (e.g., AWS Certified Data Analytics) are typically required. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and troubleshoot complex data workflows. These skills ensure efficient data processing, secure cloud operations, and successful project delivery within modern data-driven organizations.

What is the difference between Aws Emr Engineer vs Data Engineer?

AspectAws Emr EngineerData Engineer
CertificationsAWS certifications, especially AWS Certified Data Analytics or Solutions ArchitectGenerally includes certifications like Google Cloud Professional Data Engineer or Microsoft Azure Data Engineer, but AWS certifications are common
Work EnvironmentPrimarily cloud-based, focusing on AWS services like EMR, S3, and GlueCan be cloud, on-premises, or hybrid, working with various data storage and processing tools
ResponsibilitiesDesigning, deploying, and managing big data processing on AWS EMRBuilding and maintaining data pipelines, data warehouses, and ETL processes across platforms

While both roles involve big data processing, Aws Emr Engineers specialize in managing AWS EMR clusters and related services, whereas Data Engineers have a broader scope across multiple platforms and tools. The Aws Emr Engineer role is more cloud-specific, focusing on AWS infrastructure, while Data Engineers work across diverse environments to ensure data availability and quality.

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Aws Emr Engineer jobs near you
Infographic showing various Aws Emr Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $99,164 per year, or $47.7 per hour.

Senior AWS EMR / Spark Engineer - W2 Contract

SDVS Technologies LLC

Seattle, WA • On-site

$119K - $163K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Amazon s RFM team is seeking an engineer to optimize DRAM usage across EMR on EC2 clusters through cluster tuning, Spark/YARN optimization, and EC2 instance right-sizing. The role involves analyzing utilization, identifying over-provisioned resources, running optimization experiments, and delivering measurable memory/cost savings without impacting performance or SLAs.
Key Responsibilities
Analyze EMR, Spark, YARN, and CloudWatch metrics to identify memory waste, underutilized executors, and inefficient cluster configurations.
Optimize EC2 instance types, node counts, EBS, and Spot/On-Demand fleet configurations, including R-family C-family migrations where appropriate.
Tune Spark/YARN configurations, including executor memory/cores, memory overhead, container sizing, dynamic allocation, and shuffle settings.
Perform end-to-end optimization experiments, deployments, testing, and metric validation using Amazon tools.
Monitor service health and ensure job performance, throughput, completion times, and SLAs are not degraded.
Collaborate with service teams and engineering leadership to present findings and implement optimization plans.
Create runbooks, SOPs, technical specifications, and reusable optimization playbooks for fleet-wide adoption.
Develop scalable frameworks to optimize hundreds of EMR clusters and enable other engineers to execute optimization workflows.

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