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Aws Emr Jobs (NOW HIRING)

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 ...

Rivago infotech inc

Data Architect (Databricks)

Manhattan, NY · On-site

$71.50 - $93.75/hr

Tarrytown New York (Onsite) Duration: Long term Project Key Responsibilities & Skills: · Lead enterprise-scale data platform modernization initiatives, driving migration from AWS EMR, Apache NiFi ...

1 point system

Java Developer

Riverwoods, IL · On-site

$53 - $68.50/hr

You'll work across Java/Spring microservices, AWS EMR/Spark workloads, and a mature testing culture (TDD/BDD) to deliver secure, resilient, and compliant software. Key Responsibilities * Design and ...

SmallArc, Inc

Databrick Architect

Tarrytown, NY · On-site

$68.50 - $90/hr

Tarrytown New York (Onsite) Key Responsibilities & Skills · Lead enterprise-scale data platform modernization initiatives, driving migration from AWS EMR, Apache NiFi, and legacy ETL frameworks to ...

Marriott

Senior Systems Engineer - FinOps

Bethesda, MD · On-site

$111K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role focuses on FinOps optimization across Snowflake, AWS EMR, and core AWS services (EC2, S3, Lambda, Redshift, Glue, DynamoDB, EKS). The engineer designs and implements automation for tagging ...

eFulgent

DevOps Engineer /Data Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Job Summary (List Format): - Design and support cloud-native architectures, containerization, and orchestration solutions - Manage and optimize AWS services such as EKS, EMR, Lake Formation, and ...

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Develop real-time and batch data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Java, NoSQL DBs, AWS EMR. Develop data driven solutions utilizing current ...

Apex Informatics

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Spark, Scala, Java, AWS (EMR) * Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow * Domain knowledge a plus * Data set size is 500m-1b rows per batch * His resume review focuses on ...

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 ...

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Aws Emr information

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How much do aws emr jobs pay per hour?

As of Aug 16, 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.

Are AWS EMR jobs remote or on-site?

AWS EMR jobs can be performed remotely or on-site depending on the employer and project requirements. Many roles involve managing and configuring cloud-based clusters, which can often be done remotely with the right access and tools. On-site work may be required for certain positions involving direct hardware management or on-premises integrations.

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.

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, which is expected to grow with increasing data analytics needs.

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 August 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 73% Full Time, 14% Part Time, and 9% 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.

AWS Lead Data Engineer

Ruri Software Technologies LLC

Newark, NJ • On-site

$107K - $141K/yr

Full-time

Re-posted 18 hours ago

Job description

AWS Lead Data Engineer
Hybrid - 3 days from Newark, NJ office
Note: Please submit local candidates who are available for an in-person client interview from Newark (Washington Street) office after the 1st round of client interview is complete. Before presenting the candidate to the client, we will also conduct one round of internal evaluation with our panelists.
2.Job summary : We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Candidate would be required to work from NJ office as part of this role.
3.Experience : 7to10Yrs
4.Required Skills : ,AWS Lambda,AWS RDS,AWS EMR,AWS Glue,Redshift,AWS Athena,AWS Kinesis
5.Nice to have skills :
6.Technology : -Not Applicable
7.Shift : Day
8.Responsibilities :
1. Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS.
2. Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services - Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.
3. Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture.
4. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions.
5. Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses.
6. Develop and enforce standards for data quality, security, and governance.
7. Drive the adoption of DevOps, CI or CD, and infrastructure-as-code practices within the data engineering team.
8. Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy.
9. Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption.
10. Troubleshoot complex data issues and provide technical leadership in problem resolution.
11. 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
12. Extensive hands-on experience with AWS data services -Glue, Redshift, S3, Lambda, EMR or Spark, Kinesis, Athena, RDS, API Gateway, etc. 13. Proficient in programming languages such as Python and SQL, experience with Shell scripting and Scala is a plus.
14. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
15. Proven experience with ETL or ELT processes, data modeling, and big data frameworks.
16. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
17. Experience with DevOps practices, CI or CD pipelines, and infrastructure-as-code tools e.g., CloudFormation, Terraform

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