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Aws Emr Engineer Jobs (NOW HIRING)

AWS/EMR Engineer IgniteAction is seeking an experienced AWS/EMR Engineer to provide end-to-end engineering and operational support for secure, cloud-based data processing environments used to produce ...

Description AWS/EMR Engineer IgniteAction is seeking an experienced AWS/EMR Engineer to provide end-to-end engineering and operational support for secure, cloud-based data processing environments ...

Description AWS/EMR Engineer IgniteAction is seeking an experienced AWS/EMR Engineer to provide end-to-end engineering and operational support for secure, cloud-based data processing environments ...

AWS/EMR Cloud Infrastructure Lead

$57 - $76.25/hr

AWS/EMR Cloud Infrastructure Lead IgniteAction is seeking an experienced AWS/EMR Cloud ... engineering, DevOps practices, and cross-functional project coordination in a cloud-first ...

... engineering, DevOps practices, and cross-functional project coordination in a cloud-first ... supporting AWS EMR cloud-based compute and storage environments • Hands-on experience with ...

... engineering, DevOps practices, and cross-functional project coordination in a cloud-first ... supporting AWS EMR cloud-based compute and storage environments • Hands-on experience with ...

Data Engineer (AWS-Python)

Malvern, PA · On-site

$112.40K - $134.90K/yr

We are seeking a Senior Data Engineer with strong hands-on experience in building AWS-based data ... Work with AWS services such as EMR, Redshift, Glue, and S3 * Write and optimize SQL queries for ...

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Aws Emr Engineer information

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$47

$72

How much do aws emr engineer jobs pay per hour?

As of May 29, 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 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 are some of the most 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 AWS EMR Engineers?

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 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.

More about Aws Emr Engineer jobs
What cities are hiring for Aws Emr Engineer jobs? Cities with the most Aws Emr Engineer job openings:
What states have the most Aws Emr Engineer jobs? States with the most job openings for Aws Emr Engineer jobs include:
Infographic showing various Aws Emr Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 92% Full Time, 4% Part Time, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $99,164 per year, or $47.7 per hour.
AWS/EMR Engineer

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

AWS/EMR Engineer 

IgniteAction is seeking an experienced AWS/EMR Engineer to provide end-to-end engineering and operational support for secure, cloud-based data processing environments used to produce protected data products for public and research use. This includes designing, administering, and optimizing scalable compute and storage platforms, supporting production workflows, and ensuring efficient, reliable operations through monitoring, automation, and DevOps practices. The team develops and maintains application code and tooling, integrates and tests approved disclosure avoidance methods, and supports both experimental and production data runs. Responsibilities also include governance of access, configuration management, cost efficiency, and system reporting. Overall, the effort ensures high-quality, compliant data products are delivered through resilient, well-managed cloud and hybrid environments.

Proficiency with source code management and collaboration tools such as Git-based repositories and issue tracking systems

  • Provide IT support for cloud-based compute and storage environments used to produce protected data products for research and dissemination

    • Administer distributed cloud platforms, including provisioning, configuration, monitoring, and lifecycle management for high-performance workloads

    • Support large data processing environments using frameworks such as Apache Spark and optimization tools

    • Establish and maintain operational parameters for deploying and executing data processing and dissemination workflows

    • Design and optimize cloud storage configurations, including data curation and removal of redundant datasets

    • Implement high performance computing (HPC), storage, and workflow optimizations

    • Deploy and manage monitoring and dashboard solutions to track cluster usage, performance, availability, and cost efficiency

    • Optimize resource utilization by identifying and terminating idle or unused compute resources

    • Manage user access, including account provisioning, role-based access, and deprovisioning

    • Install, configure, and maintain software, operating systems, and platform services, including Linux patching and updates

    • Produce operational and usage reports related to system performance and data storage

    • Provide guidance on cloud cost management, budgeting, and optimization strategies

  • •Support agile project execution, including sprint planning, standups, retrospectives, and backlog management

    • Maintain Kanban or sprint boards and track tasks, milestones, and dependencies

    • Coordinate communication across engineering, operations, data science, and stakeholder teams

    • Identify and help resolve technical, operational, and process-related obstacles

    • Provide guidance on agile best practices and continuous improvement

    • Support data governance, data quality, and privacy protection requirements

    • Define and maintain project roles, responsibilities, and reporting structures

    • Develop and manage project schedules, deliverables, risks, and opportunities

    • Document and distribute meeting notes, action items, and decisions

    • Establish data transfer governance, standardized intake, validation, error handling, and repeatable evaluation workflows

  • • Develop and maintain production-ready code, tools, and workflows to support data processing, experimentation, and dissemination, including testing and validation of outputs

    • Implement, monitor, and optimize cloud compute and storage environments, leveraging automation, infrastructure-as-code, and performance tuning for distributed processing frameworks

    • Manage source code, system updates, and operational tools, ensuring efficient collaboration, workflow tracking, and reliable execution of production and prototype workloads

REQUIRED:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or equivalent professional experience

    • Experience supporting AWS EMR cloud-based compute and storage environments

    • Hands-on experience with distributed data processing frameworks including Apache Spark

    • Experience administering Linux-based systems

    • Proficiency in scripting or programming languages commonly used for automation and data processing

    • Experience with source code management platforms and collaborative development workflows

    • Understanding of cloud cost management and optimization concepts

    • Strong analytical, troubleshooting, and problem-solving skills

    • Ability to communicate technical concepts to both technical and non-technical audiences

  • Proficiency with source code management and collaboration tools such as Git-based repositories and issue tracking systems

PREFERRED SKILLS AND ATTRIBUTES:

  • AWS Certified Solutions Architect – Associate or Professional

    • AWS Certified DevOps Engineer – Professional

    • AWS Certified Data Analytics – Specialty

  • HashiCorp Terraform Associate

  • Experience working in an Agile or iterative software development environment with DevOps practices

  • Experience supporting cloud-native and distributed computing frameworks, including workload monitoring, performance tuning, and cost optimization

  • Familiarity with optimization and analytics frameworks such as Apache Spark and commercial or open-source optimizers (e.g., Gurobi or similar tools)

  • Experience developing or supporting dashboards, monitoring tools, and automated workflows for managing compute and storage resources

Work Authorization:

Must be a U.S. Citizen and able to obtain or maintain Public Trust (High) clearance.

ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security and IT Managed Services.   With 26+ years of stellar past performance, ActioNet is the premier Trusted Innogrator!

Core Capabilities:

  • Advanced and Managed IT Services

  • Agile Software Development

  • DevSecOps

  • Cybersecurity

  • Health IT

  • C4ISR & SIGINT

  • Data Center Engineering & Operations

  • Engineering & Installation

Why ActioNet?

At ActioNet, our Passion for Quality is at the heart of everything we do:

  • Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters.

  • Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence.

  • Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation.

ActioNet is proud to be named a Top Workplace for the twelfth year in a row (2014 - 2025). We have a 98% customer retention rate. We are passionate about the inspirational missions of our customers, and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health, and well-being of our nation.

What's in It For You?

As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference?

ActioNet is an equal-opportunity employer and values inclusion at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Full-Time Employees are eligible to participate in our ActioNet’s Benefits Program:

  • Medical Insurance

  • Vision Insurance

  • Dental Insurance

  • Life and AD&D Insurance

  • 401(k) Savings Plan

  • Education and Professional Training

  • Flexible Spending Accounts (FSA)

  • Employee Referral and Merit Recognition Programs

  • Employee Assistance and Identity Theft Protection

  • Paid Holidays: 11 per year

  • Paid Time Off (PTO)

  • Disability Insurance

ActioNet is an equal opportunity employer and value inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

********Direct Applicants, only.  No Agencies, No third-party recruiters, please********