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Aws Emr Jobs (NOW HIRING)

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 ...

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 ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

Extensive experience setting up and doing development for a distributed platform, such as HBASE, Hadoop/Spark, AWS EMR, Cassandra * Extensive ETL experience * General Purpose Programming languages ...

Senior Data Engineer

Greenville, DE · On-site

$102K - $139K/yr

AWS EKS * AWS EMR * AWS S3 * AWS Aurora * AWS MSK * AWS SNS * AWS SQS * Apache Kafka * Terraform Ideal Candidate * Strong background in data engineering and distributed computing. * Experience ...

Showing results 41-60

Aws Emr information

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$10

$70

$95

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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What cities are hiring for Aws Emr jobs?

Cities with the most Aws Emr job openings:

What states have the most Aws Emr jobs?

States with the most job openings for Aws Emr jobs include:

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.

Software Engineer - Data Ingest Team

Interclypse, Inc.

Annapolis Junction, MD • On-site

$125K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Description

 Interclypse is seeking a Software Engineer II to support a mission-critical data engineering effort on a project with the Department of Homeland Security's Cybersecurity and Infrastructure Security Agency (CISA). This role sits on a team responsible for data ingest - moving data from point A to point B across the pipeline. Current work includes Python-based data movement through AWS EMR, with an active transition to PySpark and SQL in Databricks, as well as building data flows from Databricks to a cloud-hosted Elasticsearch environment. You'll work alongside dedicated Databricks and Elasticsearch subject-matter-expert teams, so deep specialization in either isn't required, but this role carries more independent ownership of pipeline design and troubleshooting than an entry-level position. 


Key Responsibilities

  • Own and maintain data ingest pipelines, moving data reliably from source systems through to downstream destinations
  • Work with existing Python code for AWS EMR-based data movement - Lead components of the ongoing migration of data pipelines from EMR/Python to PySpark and SQL in Databricks
  • Build and support data flows from Databricks to a cloud-hosted Elasticsearch environment
  • Collaborate with dedicated Databricks and Elasticsearch SME teams to design and troubleshoot pipeline components - Troubleshoot production issues across AWS, Databricks, and Elasticsearch
  • Evaluate and improve the quality of existing pipeline software and integrations
  • Document technical processes and data flows
  • Ensure compliance with relevant federal security standards (e.g., NIST, FISMA) 
  • Conducts software validation, verification, and software engineering anomaly resolution
  • Evaluates the quality of proposed and existing software systems/solutions supporting cyber software activities integrated into various networks and architectures
  • Designs, develops, enhances, debugs, integrates, and implements software
  • Troubleshoots production problems related to software applications
  • Researches, tests, builds, and coordinates conversion/integration of new products based on user requirements
  • Designs or implements complex algorithms requiring adherence to strict timing, system resource, or interface constraints; performs quality control on team products
  • Confers with system and hardware engineers to derive requirements and obtain information on project limitations, capabilities, performance requirements, and interfaces 

Requirements

Interclypse provides a uniquely cultivating environment where mentorship and continued learning create extraordinary professionals. Our goal is to empower our talent by putting you in the driver's seat of your career.

Software Engineering candidates have experience working in team environments, building software solutions for customers, and are looking to take their careers to the next level. Familiarity with the following tech stacks below is great but not a requirement.


Required Qualifications

  • 4-6 years of applications development experience with a High School Diploma; *or* a bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, or related technical discipline with 2-4 years of applications development experience
  • Working knowledge of core AWS services
  • Solid hands-on experience with Python
  • Working familiarity with Databricks (SME support available for deeper specialization)
  • Ability to troubleshoot production issues independently
  • Strong written and verbal communication skills 

Preferred Qualifications

  • Experience with PySpark or SQL-based data transformation
  • Familiarity with AWS EMR or similar big-data processing services
  • Exposure to Elasticsearch or other search/indexing platforms
  • Experience working on federal government contracts, particularly with DHS or CISA
  • Familiarity with NIST cybersecurity frameworks and federal compliance requirements (FISMA, FedRAMP)


Why You Might Like This Job:

  • You're tired of working for a massive organization.
  • You want to work for an established company that values your stable career.
  • You want to work with a team that loves their job and making cool stuff.
  • You want to be part of a team focused on making a positive impact.
  • You want to grow your skills in management or work toward becoming an expert.
  • You want to have the option for career mentorship, both in technology and in business.
  • You value a company with a strong culture of growth and support

Benefits:

  • Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.
  • Comprehensive time off and leave programs:
    • 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays
    • Parental Leave: 40 Hours
    • Bereavement Leave: 24 hours.
    • Military Reserve Leave (up to 80 hours, see employee handbook for details).
    • Jury Duty Leave 16 hours.
  • Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum
  • Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).
  • Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families
  • Vision Insurance
  • Dental Insurance includes orthodontics coverage
  • Life Insurance
  • Accidental Death and Dismemberment Insurance
  • Disability: Short-term and long-term disability coverage
  • Educational support: reimbursement up to the federal max of $5,250
  • Company apparel: $200 for company apparel each year
  • Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more

Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you!


EOE AA M/F/Vet/Disability:

Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Related terms and topics: Java, Software Development, Computer Programming, Software Engineering, C++, Design Patterns, Enterprise Integration Patterns