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Aws Emr Engineer Jobs (NOW HIRING)

ClifyX

AWS Engineer

San Diego, CA · On-site

ClifyX is seeking an AWS Engineer to work onsite in San Diego, CA. The role involves implementing ... RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc.) • Experience working on AWS Data ...

Sharp Decisions

AWS Senior Data Engineer

Torrance, CA · On-site

$117K - $141K/yr

Torrance CA (4 days a week) We are seeking a Data Engineer with 5+ years of experience in data ... Design, develop, and maintain data integration workflows using AWS Glue, EMR, MWAA/Airflow, Lambda ...

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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 ...

Mactores

AWS Data Engineer (Associate)

$117K - $140K/yr

... AWS EMR, Apache Airflow • Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps ...

Mactores

AWS Data Engineer (Associate)

$117K - $140K/yr

... AWS EMR, Apache Airflow • Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps ...

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How much do aws emr engineer jobs pay per hour?

As of Aug 20, 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 Big Data Engineer (AWS EMR & Spark) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-posted 17 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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