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Aws Emr Engineer Jobs (NOW HIRING)

Saviance

Senior PySpark Engineer - AWS/EMR

$125K - $165K/yr

They are seeking a Senior PySpark Engineer to design, develop, and maintain distributed ETL data pipelines using PySpark on AWS EMR in a GxP-compliant environment. Responsibilities : • Design ...

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 ...

Keylent Inc

AWS Sr Developer

Houston, TX · On-site

Responsibilities : • Ability to manage and monitor AWS EMR, AWS EC2, AWS S3, RDS (MySQL) and Talend Jobs. • Strong engineering skills in above mentioned AWS services • Support high volume, high ...

Syntricate Technologies

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

AWS Lake formation, AWS Glue Data Catalog, AWS EMR,S3, Athena, Lambda. • Data Engg Technologies ... Programming language like SQL and Python. Company : Syntricate Technologies offers quality ...

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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Aws Emr Engineer information

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How much do aws emr engineer jobs pay per hour?

As of Sep 11, 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 September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,164 per year, or $47.7 per hour.

Senior PySpark Engineer - AWS/EMR

Remote

Saviance
IT Services • 201 - 500 employees
Learn more about Savianceexternal

$125K - $165K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. They are seeking a Senior PySpark Engineer to design, develop, and maintain distributed ETL data pipelines using PySpark on AWS EMR in a GxP-compliant environment.
Responsibilities:
• Design, develop, and maintain distributed ETL data pipelines using PySpark on AWS EMR
• Work within a GxP-compliant environment, ensuring data integrity and regulatory alignment
• Write clean, scalable, and efficient PySpark code for large-scale data processing
• Utilize AWS cloud services for pipeline orchestration, compute, and storage
• Collaborate closely with cross-functional teams to deliver end-to-end data solutions
• Participate in code reviews, testing, and deployment of pipeline components
• Ensure performance optimization, fault tolerance, and scalability of data workflows
Qualifications:
Required:
• 8–10 years of experience in software or data engineering with a focus on distributed systems
• Deep hands-on experience with Apache Spark, PySpark, and AWS (especially EMR)
• Strong programming skills in Python
• Solid understanding of cloud-native architectures
• Familiarity with GxP compliance and working in regulated data environments
• Proven ability to independently design and develop data pipelines (not a DevOps/AWS admin role)
• Experience with distributed computing and high-volume ETL pipelines
Preferred:
• Experience building pipelines using Databricks is a strong plus
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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