AWS/EMR Engineer

Overview 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. Responsibilities 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. Proficiency with source code management and collaboration tools such as Git-based repositories and issue tracking systems. Required Qualifications 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. Preferred Skills and Attributes AWS Certified Solutions Architect – Associate or Professional. AWS Certified DevOps Engineer – Professional. HashiCorp Terraform Associate. Experience working in an Agile or iterative software development environment with DevOps practices. #J-18808-Ljbffr Actionet Inc