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Aws Emr Jobs (NOW HIRING)

ClifyX

AWS Engineer

San Diego, CA · On-site

Responsibilities : • Experience working and implementing AWS Data Lakes • Experience working with the AWS ecosystem (Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc.) • ...

Jobsbridge

Big Data Architect- AWS ( Urgent )

Princeton, NJ · On-site

$66.75 - $86/hr

Knowledge on Python & Java is a bonus Hands-on experience in AWS ( EMR, Elastic Search, Redshift, Dynamo DB) etc (Must!) Understanding of SPLUNK Qualifications AWS, big data technologies, SPLUNK ...

ibrain technologies, inc

Data Engineer@Malvern, PA

Malvern, PA · On-site

$112K - $134K/yr

Pyspark, Python, SQL, AWS EMR, AWS Glue, AWS Athena, AWS CloudFormation, AWS IAM & S3, AWS SNS, AWS Lambda. Analyze complex business problems, track down required information, document requirements ...

1 point system

Data QA

New York, NY · Remote

$117K - $140K/yr

The ideal candidate will have hands-on expertise with Databricks, AWS EMR, or Apache Spark , and a background in PySpark or Hadoop-based data testing . This role requires a detail-oriented ...

Elite IT Solutions inc

DataBricks Engineer

Plano, TX · On-site

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms data platforms while ensuring data quality, security ...

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How much do aws emr jobs pay per hour?

As of Jul 25, 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.

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.

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 July 2026, with employment types broken down into 2% Locum Tenens, 92% Full Time, 1% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $145,725 per year, or $70.1 per hour.
Senior Big Data Engineer (AWS EMR & Spark) - Q125

Senior Big Data Engineer (AWS EMR & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Posted 21 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Big Data Engineer (AWS EMR & Spark)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an experienced Senior Big Data Engineer to design and implement large-scale data solutions using AWS EMR and Spark. This role focuses on building efficient ETL processes and data pipelines to support enterprise analytics and insights.
Key Responsibilities
  • Design and develop scalable data pipelines using AWS EMR and Apache Spark for processing large datasets.
  • Implement ETL workflows to transform and integrate data from various sources into actionable insights.
  • Optimize Spark jobs on AWS EMR clusters for performance, cost-efficiency, and reliability.
  • Collaborate with data analysts and scientists to support advanced analytics and reporting requirements.
  • Ensure data quality, security, and compliance throughout the data lifecycle in cloud environments.
  • Troubleshoot and monitor EMR clusters to maintain high availability and performance under heavy workloads.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Big Data Engineer with expertise in AWS EMR and Spark.
  • Proficiency in building and optimizing ETL processes and data pipelines for large-scale datasets.
  • Strong understanding of distributed computing principles and big data architectures.
  • Experience with AWS cloud services for data storage and processing (e.g., S3, Glue).

Preferred Qualifications
  • Familiarity with advanced AWS services like AWS Redshift or Lambda for integrated data workflows.
  • Exposure to data lake architectures and tools like Delta Lake for enhanced data management.
  • Knowledge of scripting languages like Python or Scala for Spark job development.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Big Data, Data Engineer, AWS EMR, Spark, ETL, Data Pipeline

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