Role Description Astrion is seeking a Surveillance Radar Engineer to provide technical subject matter expertise supporting FAA radar modernization and sustainment efforts across the National Airspace System (NAS). This role focuses on: - Accelerating radar deployment schedules - Resolving technical issues - Supporting system integration, testing, and field implementation FAA Systems May Include: - Airport Surveillance Radar (ASR-9, ASR-11/DASR) - Air Route Surveillance Radar (ARSR-4) - ATCBI-6 / ATCBI-6A - Mode S / Secondary Surveillance Radar - Terminal and En Route Surveillance Interfaces - Radar Sustainment and Modernization Programs Qualifications - Bachelor’s degree in Electrical or Systems Engineering (or related field) - 8+ years of surveillance radar or air traffic systems experience - Knowledge of primary/secondary radar, Mode 3/A, C, and S operations - FAA or DoD radar program experience preferred - Strong communication and documentation skills Requirements - Provide radar engineering SME support to FAA program offices and integrators - Support accelerated deployment schedules and technical risk mitigation - Review engineering designs, test plans, safety assessments, and installation packages - Participate in design reviews, readiness reviews, and site commissioning - Support system performance analysis, Electromagnetic Interference/Electromagnetic Compatibility (EMI/EMC) mitigation, and spectrum coordination - Develop technical briefings and recommendations for FAA leadership Company Description

• Lead or support traffic engineering, signal operations/signal timing, and Intelligent Transportation Systems (ITS) design, implementation, and integration projects in Pennsylvania and surrounding region • Lead development and implementation strategies for improving arterial traffic flow and safety, prepare the development of system performance measurement tools, standard operating policies/procedures, deficiency reports and mitigation plans, coordinate with local agencies related to the operation and maintenance of traffic signals and arterial systems • Oversee and conduct highly visible customer traffic operations support through the performance of on-site signal timing implementation and fine-tuning, and review of existing traffic operations issues • Collaborate with client management delivering projects to the clients' satisfaction within business objectives • Liaise with local and regional business development efforts • Cultivate strategic thinking to grow business and increase return client rates • Periodically participate in coordination meetings and consult with other staff • Support staff management and provide mentorship and training for engineering and planning staff • Define client needs and develop a plan and proposal for delivery of the project

Role Description We currently have a career opportunity for a Senior Agentic AI Engineer (AWS) to join our team. While our headquarters are in St. Louis, MO, this role is remote and can be located anywhere in Latin America. - Seeking an experienced AWS Agentic AI Engineer with: - 8+ years of AWS Cloud experience - 3+ years of hands-on experience designing and delivering Agentic AI and Generative AI solutions - The ideal candidate will: - Design, develop, and deploy production-ready AI agents, multi-agent systems, and enterprise AI platforms on AWS using Amazon Bedrock, AWS AgentCore, SageMaker, and cloud-native services - Require strong expertise in scalable AI architectures, AI governance, security, observability, and enterprise system integration Qualifications - 8+ years of AWS Cloud experience - 3+ years of hands-on experience designing and delivering Agentic AI and Generative AI solutions - Strong expertise in scalable AI architectures - AI governance, security, observability, and enterprise system integration Requirements - Experience with Amazon Bedrock, AWS AgentCore, and SageMaker - Ability to design and develop production-ready AI agents and multi-agent systems Benefits - Work with the latest technologies - Expand your skills - Become a part of a global community of talented, diverse, and knowledgeable colleagues Company Description Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed.

Role Description We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasets—enabling downstream analytics, application logic, and system modernization initiatives. - Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources. - Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs. - Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements. - Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. - Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. - Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse. - Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD). - Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services. - Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides. - Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making. Qualifications - Bachelor's degree in computer science, engineering, statistics, or related field. - 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role. - Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets. - Proficiency with Python and libraries such as Pandas, PySpark, or Numpy. - Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins). - Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark). - Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda). Preferred Qualifications - Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK). - Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. - Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture. - Experience supporting healthcare data systems or CMS data environments. - AWS certifications are a plus.