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Aws Emr 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

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.) • ...

Keylent Inc

AWS Sr Developer

Houston, TX · On-site

AWS EMR) • Analytical/Problem Solving Skills • Able to work in an Agile Team • Clear Communication • Strong RDBMS fundamentals and experience • Experience working in an Agile / Scrum ...

ClifyX

AWS Solution Architect

Los Angeles, CA · On-site

Customer interaction skills. • Experience working and implementing AWS Data Lakes Experience working with the AWS ecosystem Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc. • ...

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 like : HDFS, Hadoop, Spark, Hive, Airflow, Trino, Pyspark • Experience in Designing Ci CD pipelines ...

Omega Solutions, Inc.

Senior Python Developer

Princeton, NJ · On-site

$128K - $172K/yr

The role involves working with AWS EMR, Python, and Pyspark to develop and rewrite an analysis application focused on statistical number crunching. Responsibilities : • Looking for a Senior Python ...

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 ...

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 ...

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 ...

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 ...

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Aws Emr information

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How much do aws emr jobs pay per hour?

As of Sep 6, 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 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 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.

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 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.
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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 2% Locum Tenens, 3% As Needed, 72% Full Time, 15% Part Time, and 8% 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.

Senior PySpark Engineer - AWS/EMR

Saviance

Remote

$125K - $165K/yr

Full-time

Re-posted 22 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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