Senior Mechanical Engineer jobs at IMEG

Job Title: Mechanical AI&T Engineer Duration: 12+ Months Contract Type: W2 Only (NO C2C/C2H) Key job responsibilities Generate detailed designs via CAD systems and engineering drawings with appropriate geometric dimensioning and tolerancing (GD&T) Support space hardware qualification/acceptance campaigns including: Deliver well-written test plans, procedures, and reports Design of test fixtures Assembly and build of test/flight hardware Develop space hardware assembly build procedures Perform mechanical builds of prototype or space hardware Experience working with cross functional teams and a strong ability to collaborate. Basic qualifications Bachelor's degree in mechanical, Structural, and Aeronautical Engineering or related discipline, or equivalent experience 3+ years of experience with Siemens NX CAD package (Siemens NX, NX Teamcenter, GD&T per ASME y14.5) 3+ years of experience in space hardware assembly, integration and test Familiar with mechanical test instrumentation such as thermocouples, RTDs, accelerometers, etc. Familiar with mechanical assembly, typical assembly tools, and space hardware build best practices Preferred qualifications Master's or PhD degree in Mechanical, Structural, and Aeronautical Engineering or related discipline, or equivalent experience Track record of successfully delivering compelling written reports and complete designs on time, to scope, with high quality 5+ years of experience with Siemens NX CAD package (Siemens NX, NX Teamcenter, GD&T per ASME y14.5) 5+ years of experience in space hardware assembly, integration and test Space hardware thermal vacuum test experience Space hardware vibration test experience Solid understanding of design for manufacturing methods Data analysis/processing capabilities High sense of ownership, urgency, and drive; resourceful, and able to deliver results with minimal direction Excellent oral and written communication skills Experienced with Issue tracking applications (JIRA, TRAC) Demonstrated experience working with government agencies.

Lead Product Security Engineer (R&D) Hybrid in Sorrento Valley - 3 days onsite What you will do: Maintain vigilance on industry security threats and manage risks according to established procedures. Define security requirements and controls based on use cases and threat models. Collaborate with cross-functional teams to integrate security into the product lifecycle. Establish automated processes for vulnerability scanning and remediation. Who you are: Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field. 8-12 years of experience in product security or cybersecurity engineering. Demonstrated competency through certifications (e.g., CISSP, CompTIA Security+). Strong interpersonal and communication skills for cross-functional collaboration. Preferred: Experience in FDA-regulated environments and familiarity with cybersecurity standards (NIST, HIPAA, GDPR, etc.). Proficiency in scripting and test automation (PowerShell, Python). Knowledge of secure architecture design and incident response processes. What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $170k to $195k per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. Please email your resume to sshields@provenrecruiting.com if you'd like to work alongside some of the finest Engineers in the Life Sciences industry! Note: We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!

- CAD Engineer RATE- $50/hr Job descriptions: - 10+ years of experience required EDA Semiconductor Design Enablement Responsible for supporting and optimizing Electronic Design Automation (EDA) tools and flows used in silicon design. This role bridges design teams and infrastructure, ensuring high availability, performance, and scalability of CAD environments across front-end and back-end workflows.

Head of Engineering & AI - Investment Management - Boston, MA 02111 We are currently seeking candidates for a Head of Engineering & AI position. The Head of Engineering & AI will guide teams across Software Engineering, Cloud, DevOps, Data Engineering, and AI/ML, ensuring modern architecture, strong execution, and consistent delivery. The role blends long-term strategy with hands-on leadership to turn technology and data into meaningful business impact. This is a full-time permanent position that will pay a base salary of $250K-$350K (depending on experience) plus bonus. Responsibilities Define and communicate the firm's engineering and AI strategy. Lead software, cloud, data, and AI teams; strengthen technical capabilities. Improve data quality, accessibility, and system reliability. Prioritize and execute high-impact technology initiatives. Introduce AI-driven tools and automation into business workflows. Manage relationships with cloud and technology vendors. Ensure secure, scalable, and compliant operations. Oversee budgeting and resource planning for engineering functions. Qualifications Bachelor's degree in Computer Science 10+ years across software, data, and cloud environments (AWS preferred). 8+ years in engineering leadership roles. 2+ years working with modern AI / LLM-powered solutions. Strong background in cloud architecture and full-stack development. Proven leadership across teams, vendors, and complex initiatives. Excellent communication skills with experience presenting to executives. Experience with enterprise data strategy and platform development. Exposure to scientific, biotech, or data-driven organizations is a plus. If you are interested in learning more about the role please send your resume Mark at ******************. IND123

Our client is a provider of customized multi-asset execution and order management trading solutions for buy and sell-side financial institutions. Through deep client partnerships with some of the world's largest, most complex and demanding capital markets firms, they develop the flexible tools, technology and innovation that deliver clients a competitive edge. Salary: $150-170k base w/ 25% bonus Location: Great Neck, NY Security Operations Lead The Security Operations Lead will oversee and direct all aspects of our organization's security operations. This role requires a seasoned professional who can ensure the security of our digital and physical assets, manage incident response efforts, and implement effective security measures. The ideal candidate will possess a strong background in cybersecurity, leadership experience, and a proactive approach to risk management. Key Responsibilities- Leadership and Management: Lead and mentor a team of security professionals, helping build out the global team across different time zones. This includes career development and learning. Incident Response: Develop and implement robust incident response plans, lead investigations, and ensure timely resolution of security investigations and tickets. Security Monitoring: Oversee the monitoring of security systems, analyze security incidents, and develop proactive strategies to detect and mitigate risks. Risk Management: Identify potential security threats, vulnerabilities, and risks, and develop strategies to address them. Policy Development: Develop, implement, and enforce security policies, procedures, and standards across the organization. Collaboration: Work closely with other departments to integrate security measures into all aspects of the business. Training and Awareness: Develop and conduct security training programs to raise awareness and educate employees on best practices. Reporting: Provide regular reports on security incidents, ticket metrics, risks, and mitigation efforts to senior management. Job requirements Bachelor's degree in Computer Science, Information Security, or a related field. Master's degree preferred. Minimum of 7 years of experience in cybersecurity or a related field, with at least 3 years in a global leadership role. Experience building and maturing a security team. Relevant certifications such as CISSP, CISM, CEH, or equivalent. Skills: Strong understanding of cybersecurity principles and best practices. Experience with security technologies such as firewalls, intrusion detection/prevention systems, and SIEM. Experience with managing tickets and queues. Experience with, and moving to, proactive security operations - red team / blue team from security ops perspective.

Hello Fusion Solutions is looking for a lead engineer- Plano, TX. If this is of interest, please send me your resume with your month and day of birth, I will send you the Right To Represent email and request for your authorization. I will call you once I receive your resume. Thank you! My Contact Details: (332)- 237-7666 / Email: ****************************** Details of the role are listed below. Thank you! Title: Lead engineer/Project Manager Location: Plano, TX (remote will be consider) Duration: 12 Month Start Date: Dec 2025 Pay rate: $25 W2 + $35 Per Diem - Total: $60/hr Description: We are looking for a lead engineer to be part of the Construction and Engineering team leading the overall delivery for Site Digital Twin program for all customers in US and Canada. The ESDT team digitizes the Telecom infrastructure into BIMs for both ground and tower top. In this role, you will be part of a team that manages the end-to-end process from drone capture to BIM delivery to all our customers in US and Canada. You will work independently and in a team environment to achieve organizational goals/target. Responsibilities: • RF Equipment knowledge. Both general knowledge and installation practices. Radios, Antennas, Mounts, Cabinets, Shelters, Batteries, Power plants, etc. • Understanding customer network and equipment practices. RAN knowledge, Equipment handling (asset tags), Equipment database, Scoping, Drivers, Engineering and Design. • Develop, Document and Optimize the quality process for all ESDT related programs. • Interface between AT&T, product teams, executives and offshore teams when developing customer deliverables. (CD formatting, quality reporting, Payload quality). Management of the product as well as the team of over 800 required. • Must be able to adapt processes and delivery model to new products being developed. For example: New delivery requirements for CD's/BIM, Product growth, Small Cell, In-building or Microwave. • Customer Management: Consultative with an ability to communicate clearly and manage customer requirements. Lead customer discussions on production volumes, performance OKRs and issues. • Drive process improvements to bring efficiencies • Demonstrated results driving complex innovation opportunities with meaningful cost savings or add-on sales. • Excellent presentation, verbal and written communication skills. The role requires regular presentations to internal executives and customer and exceptional consultative skills • Ability to operate with a high degree of independence, while managing project and customer expectations • Leads delivery for several customer accounts, regions, and markets. • Leads remote engineering teams and is a leader of technology (product solution, process, knowledge sharing etc) • Identifies & develops new service offerings, including new delivery methods, scopes, tools, and cost models. • Expertise with RAN and shelter equipment including ancillary equipment MINIMUM EDUCATION AND EXPERIENCE REQUIREMENTS: • Min 8 years of telecommunication experience managing/leading large-scale operations (1000s of sites) • 5 years' experience managing/leading customer delivery directly • Bachelor or master's degree in engineering or project/program management or vendor management experience • Proficient in English, written and spoken • Past experience with ESDT (Ericsson Site Digital Twin) is a plus Remote opportunity would be considered but only for highly qualified candidate.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Title: Lead Data Engineer - Databricks & Azure (SQL Migration) Location: Hybrid @ Palo Alto Compensation: $140,000 - $175,000 per year Role Overview: We are seeking a skilled Lead Data Engineer to support the migration of on-premise SQL Server databases to the Azure Databricks Lakehouse Platform. This role involves designing and implementing parameter-driven ETL frameworks, migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures, and supporting data governance strategies. The ideal candidate will have proven experience with Databricks, Unity Catalog, Delta Lake, and ADF, and will work closely with the team to deliver scalable, efficient, and secure data migration solutions. Key Responsibilities: Design and implement data migration pipelines from on-prem SQL Server to Azure Databricks Lakehouse. Build parameter-driven/config-based ETL mappings for reusable and dynamic pipelines. Migrate SQL stored procedures, views, and business logic from SQL Server to Databricks Unity Catalog stored procedures within the Databricks Lakehouse using Databricks SQL or PySpark. Configure and manage Databricks Unity Catalog for governance, lineage, access control, and security. Develop and optimize Delta Lake tables following the Medallion architecture (Bronze, Silver, Gold). Orchestrate ETL workflows via Azure Data Factory (ADF) and Databricks Workflows. Implement data access controls, account-level permissions, and object ownership via Unity Catalog. Collaborate with architects, developers, and business stakeholders to ensure data quality, lineage, and governance. Troubleshoot and optimize ETL pipelines for performance, scalability, and cost efficiency. Support CI/CD integration using Databricks Repos, Git, and Azure DevOps. Required Skills: 10+ years of experience in data engineering, including cloud migration projects. Hands-on expertise in Azure Databricks, ADF, ADLS Gen2, and Databricks Unity Catalog. Lakebridge Very good knowledge of SQL DB Stored procs, SSIS, SSRS Proven experience in migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures. Strong skills in Databricks SQL, PySpark, and Python for data transformation. Experience designing parameter-driven/config-based ETL frameworks. Deep understanding of Delta Lake, Medallion architecture, and data modeling. Knowledge of data governance, lineage tracking, and security policies. Experience with CI/CD automation, Git, and Azure DevOps. Visa Status: We are currently unable to sponsor visas. Only candidates who are visa-independent will be considered. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits As a fulltime employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Our client in Arlington Virginia are seeking to hire a Senior Full Stack / AI Engineer that has solid Python backend services and API's........ Please send your resume to ****************** Candidates must be a citizen of the United States of America Early-stage defense AI startup building computer vision and edge AI systems for expeditionary military forces. Active DoD and Intelligence Community contracts. Mission-critical, operator-in-the-loop products. Role Overview Senior full stack engineer (5-10+ yrs) with a Python-first backend focus and modern frontend experience. You'll build applications that ingest and visualize real-time sensor and video data, running across edge devices and cloud infrastructure in constrained environments. Core Responsibilities Build Python backend services and APIs for real-time data processing Develop frontend interfaces for live data visualization and analytics Integrate sensor feeds, video streams, and distributed systems Deploy containerized apps (Docker) to edge environments Optimize performance for limited compute / bandwidth Contribute to CI/CD, DevOps, debugging, and system reliability Required Strong Python + full stack experience (REST, async, real-time systems) Modern frontend framework experience Docker, basic DevOps, Linux, databases (SQL/NoSQL) U.S. Citizen, clearance-eligible (sponsorship provided) Nice to Have TypeScript, video streaming, CV/AI/ML exposure Edge computing, embedded systems, IoT Robotics / autonomous systems (ROS, ArduPilot, UAS) Defense compliance familiarity (NIST 800-171, CMMC) Comp & Benefits $150K-$200K base + bonus 401k match, full health benefits Clearance sponsorship Direct impact, mentorship, rapid growth in defense AI Ideal Profile Senior, hands-on engineer comfortable owning end-to-end systems in high-stakes, real-time, edge-first environments. Mission-driven mindset.

Gen AI Engineer Miami, FL Our enterprise client is looking for a skilled Gen AI Engineer to design, develop, and deploy full-stack GenAI applications using modern cloud and AI technologies. This role is hands-on, focused on building robust solutions, collaborating with cross-functional teams, and leveraging AI-assisted development tools to accelerate delivery and innovation. Essential Duties and Responsibilities: Develop and maintain GenAI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks. Integrate multi-cloud GenAI capabilities (AWS Bedrock, Google Vertex AI) as needed. Build scalable full-stack solutions with Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, Zustand, and related frameworks. Implement secure authentication and authorization using Azure AD & MSAL. Design and optimize data pipelines with Databricks Serverless SQL, SQL Server, and Azure Cosmos DB. Develop intelligent retrieval systems using Azure AI Search. Manage APIs and microservices with Azure APIM and FastAPI. Ensure security, observability, and cost-efficiency using Azure Monitor, Log Analytics, Azure Key Vault, and Azure Cost Management. Apply best practices for AI model deployment, scaling, and monitoring. Collaborate with product managers, data engineers, and business stakeholders to deliver impactful solutions. Utilize AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio) to enhance productivity and code quality. Contribute to full-stack architecture decisions and participate in code reviews. Lead troubleshooting and debugging efforts for complex technical issues. Stay current with advancements in GenAI, machine learning, and software engineering. Support DevOps practices using Azure DevOps for CI/CD and infrastructure automation. Mentor junior engineers and share knowledge across the team. Qualifications, Knowledge and Skills: 5+ years of experience in software engineering, with 1+ years in GenAI or LLM-based application development. Bachelor's degree in Computer Science, Engineering, or related field. Proven hands-on expertise in full-stack development and Azure cloud services. Experience with enterprise identity management and secure coding practices. Familiarity with GenAI architectures (including RAG) and multi-cloud platforms. Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio). Strong coding skills in Python, JavaScript/TypeScript, and modern frameworks. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and integration services. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. Effective communication skills for presenting solutions to technical and non-technical stakeholders.

About Us: We are working with a mission-driven SaaS company dedicated to keeping people safe. They're passionate about public safety and strive to create innovative solutions that keep their customer's happy. Job Description: As a Senior Staff Engineer, you will play a crucial role in building and maintaining our cutting-edge web applications. You will work closely with our engineering team to design, develop, and deploy robust, scalable, and user-friendly features. Onsite in Tampa, FL Area- Relocation assistance available Up to 220k base salary Responsibilities: Design, develop, and maintain backend applications using Ruby on Rails. Build user-friendly and responsive frontend interfaces using React. Collaborate with cross-functional teams to define and implement new features. Write clean, well-tested, and efficient code. Qualifications: Strong proficiency in Ruby on Rails, React, and React Native. Experience with relational databases (e.g., PostgreSQL). Solid understanding of JavaScript and web development fundamentals. Familiarity with RESTful APIs and microservices architecture.

Direct Hire (No C2C or third-party submissions) Schedule: 2 days onsite weekly As a Senior IAM Engineer, you will design and implement solutions that address enterprise and cloud cyber risk requirements, with a primary focus on our SailPoint IdentityNow deployment. This role involves delivering SailPoint/IGA integrations with ServiceNow and connecting SailPoint to core systems such as Workday and Azure Active Directory. The ideal candidate will have deep expertise in SailPoint implementation and a strong development/engineering background-specifically in Java and object-oriented programming. Requirements: Proven experience integrating SailPoint IdentityNow with CyberArk, Azure AD, ServiceNow, and developing APIs for SailPoint functionalities. Strong proficiency with RESTful web services, SAML 2.0, SailPoint IdentityNow, OAuth, WS-Security, and other authentication/authorization protocols. Exceptional communication skills and a track record of collaborating effectively with clients and partners. Expert-level knowledge of IAM protocols, including SCIM, Web Services, WS-Fed, SAML, OpenID Connect, and OAuth. Bachelor's degree preferred, or a minimum of 7+ years of hands-on Identity & Access Management (IAM) deployment and engineering experience. Duties: Design and implement SailPoint IdentityNow or IdentityIQ (IIQ) solutions and access management frameworks to meet organizational requirements. Architect and deploy CyberArk solutions, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and Privileged Threat Analytics (PTA). Collaborate with application teams to identify, aggregate, and correlate application/system user accounts with identity cubes in SailPoint. Configure and develop SailPoint modules such as audit, compliance, lifecycle management, and service account management. Design, develop, test, and troubleshoot custom system/application connectors within SailPoint IdentityNow. Demonstrate product expertise in SailPoint IIQ, CyberArk, Microsoft Active Directory, relational databases (Oracle, SQL Server, MySQL, DB2), Java, BeanShell, REST APIs, and web services. Diagnose and resolve technical issues related to SailPoint and CyberArk platforms. Perform regular audits and reviews to ensure compliance with security policies and standards. Create and maintain documentation for processes, procedures, and system configurations. Mentor and train junior team members on best practices and technologies related to SailPoint and CyberArk.

BlueWater Federal is looking for a Sr CDS Engineer to provide Cross Domain Solution (CDS) technical services for the SEWS program. As the Sr CDS Engineer, you will perform analysis and make recommendations for implementing updates/upgrades to the current CDSs and/or development of a new CDS. Responsibilities Ensure the SEWS CDSs are properly maintained and remain in an operational state. Provide support for CDS-related issues, ensuring the issue is resolved quickly and corrective actions are well documented. Perform analysis of CDS impacts when modifications or new solutions are encountered. Provide recommendations for the best course of action to address CDS-related modifications. Perform necessary rule and configuration changes to implement updates/upgrades to the SEWS CDSs. Perform engineering-level testing on CDS updates/modifications and document results. Maintain the secure status of the CDSs by testing and implementing security/vulnerability updates when available. Support health check events when CDS evaluations are required. Perform required backup and restore functions on the CDSs. Prepare the CDS for exercises and test events and return to operational status after the event. Provide CDS-related training as requested. Qualifications Bachelor's degree in an IT-related field. Must have a Top Secret Security Clearance with SCI eligibility. Minimum of Security+ certification, CISSP preferred. 5+ years of experience with CDS (Radiant Mercury) development, installation, and troubleshooting. In-depth knowledge of SELinux, networking, scripting, and regular expressions. Knowledge of IT security principles and methods. BlueWater Federal is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans. We offer a competitive health and wellness benefits package, including medical, dental, and vision coverage. Our competitive compensation package includes generous 401k matching, employee stock purchase program, and life insurance options, and time off with pay. Salary range: 130-150K

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities: Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates. For more information or to view other opportunities, visit us at ******************* Paladin Consulting is an EEOC employer.

Sr. Business Intelligence Engineer Compensation: $125k - $145k (DOE) Inceed has partnered with a great company to help find a skilled Sr. Business Intelligence Engineer to join their team! Join a dynamic and innovative team that is leading the charge in data management and analytics. This exciting role offers the opportunity to work on cutting-edge projects and shape the company's data landscape. Key Responsibilities & Duties: Lead the design and implementation of data lakehouse infrastructure Integrate cloud-based storage for scalability and durability Implement raw data ingestion Optimize data processing frameworks for analytics Required Qualifications & Experience: Minimum eight years of IT experience Six years in data engineering and project planning Three years with Microsoft Fabric or Azure technologies Proven experience in data lakehouse architecture Advanced SQL skills in MS SQL or Oracle databases Experience developing Power BI reports Excellent communication and organizational skills Perks & Benefits: This opportunity includes a comprehensive and competitive benefits package-details will be shared during later stages of the hiring process. Other Information: Hybrid work schedule This position requires a background check and drug test If you are interested in learning more about the Sr. Business Intelligence Engineer opportunity, please submit your resume for consideration. Our client unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities : Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping, to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications : Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates.

Senior Java BE Engineers (Java, Spring Boot, MongoDB) Austin TX On Site - Amazon Web Services (AWS) - Amazon Web Services EKS (AWS EKS) - AWS-EC2Full Stack-Java - Git - GitHub - Grafana - Kafka - MongoDB - Redis - Splunk - Spring - Spring Boot - Spring Web Services - Experience working with a Platform that spans across multiple tenants like Support Communities, Developer Forums, and Education Forums. - Must-Have: 10+ more years with Java - 5+more years with Mongo, and hands on experience with AI tools like [ RooCode and Claude ] - design and development of highly available, distributed and scalable enterprise systems. - SpringBoot, Redis, MongoDB, Kafka, and MicroServices architecture. - AWS deployments, scaling and EKS cluster management - GIT, PR process, CI/CD Pipelines and deployments. - Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems. - Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis. - Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN. - Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks. - Familiarity with template driven rendering and client and server side MVC architectures - Familiarity with Splunk for investigating or monitoring problems on systems. - Thorough understanding of Software Development Lifecycle, tools and agile methodologies. - Sharp troubleshooting skills and real world systems deployment experience.

Compensation: $110-130k Senior Endpoint Cybersecurity Engineer Inceed has partnered with a great company to help find a skilled Senior Endpoint Cybersecurity Engineer to join their team! This role plays a critical part in protecting endpoints and overall security posture. It's a mix of hands-on security operations, endpoint engineering, and strategic cybersecurity work. This is an opportunity to join a collaborative team, drive security improvements, and work with modern tools in a forward-thinking environment. Responsibilities: Operating, tuning, and maintaining endpoint security tools. Investigate and resolve security incidents. Manage and secure endpoint management platforms (SCCM/MECM & Intune). Handle daily operational tasks: patching, vulnerability remediation, log review, and health monitoring of all security solutions. Conduct and participate in vulnerability assessments, audits, and penetration testing activities. Deploy, integrate, and configure new security tools and enhancements. Prepare reports and dashboards for leadership on security posture and trends. Required Qualifications & Experience: Bachelor's degree and at least 5 years of experience in cybersecurity operations, IT risk, IT compliance, or similar environment. Hands-on experience with SCCM/MECM and Microsoft Defender. Experience with KnowBe4 security awareness training. At least one cybersecurity certification (Security+ preferred). Nice to Have Skills & Experience: Intune experience. Managed SIEM service experience. Experience with Proofpoint and Patch My PC. Exposure to or experience with a Managed SOC. NIST certifications or framework experience. Perks & Benefits: Comprehensive employee benefits package with several choices for greater flexibility. If you are interested in learning more about the Senior Endpoint Cybersecurity Engineer opportunity, please submit your resume for consideration. Our client unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple” We're here to help every person, whether client, candidate, or employee, find and secure what's better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Job Brief Kable Workforce Solutions is hiring a Senior Cloud/Platform Engineer for our client. This position is responsible for building and supporting cloud-native platforms with a focus on Golang development, Kubernetes engineering, and AWS. Works within the Container Management Platforms team to design, develop, and enhance scalable, secure, and highly available cloud systems. What's a Typical Day Like? · Develop APIs and backend services using Golang. · Build and extend Kubernetes components, including operators and custom resources. · Create and maintain Helm charts and Kubernetes deployments. · Design and develop scalable cloud applications on AWS. · Implement cloud-native engineering best practices and DevOps principles. · Contribute to CI/CD pipelines and automated deployment processes. · Collaborate with Squad Leads, managers, and engineers across teams to improve platform capabilities. · Support adoption of cloud platform standards and best practices across engineering groups. · Participate in open-source-oriented work and continuous learning initiatives. · Work within the Container Management Platforms team to enhance platform reliability, performance, and architecture. What Are the Requirements of the Job? · Strong Golang programming experience. · Experience developing applications and APIs. · Hands-on experience creating Kubernetes operators, custom resources, and Helm charts. · Strong understanding of Kubernetes core concepts. · Hands-on cloud development experience with AWS (and/or Azure). · Experience building scalable cloud-native applications. · Strong understanding of software engineering best practices. · Experience with CI/CD processes and tooling. · Passion for DevOps culture and continuous improvement. · Bonus: Familiarity with GitOps tooling (e.g., ArgoCD). · Strong communication skills and ability to work with technical and business stakeholders

Are you Ready to Engineer Your Career? At IMEG, one of the largest design consulting firms in the U.S., we strive to provide exciting and rewarding career opportunities to our team members. We work hard and are passionate about what we do but also love to have fun along the way. We celebrate the ability to be a firm of over 2900 employees in the US and beyond who still provides a local office approach and feel to each of our employee-owners. From opportunities to get involved and give back locally through our Community Involvement Committees to the ability to partner with exciting clients, we take our jobs seriously but have a great time in the process. As a company, we believe in investing in our team members and providing an environment for expansive growth. We put people first. We are proud to say we are a 100% employee-owned organization and take pride in our commitment to being a great place to work. We support this commitment through work-life balance, flexibility, continuous training and development opportunities, and community impact. We reward innovation, hard work, and support a culture of sustainability. IMEG is growing, and we'd love to have you join our team! We are currently seeking a Mechanical Project Engineer in our Independence, OH office. As a Mechanical Project Engineer, you will lead design efforts as a project manager or lead engineer for low to moderate complexity projects and collaborate with senior staff for the delivery of larger and high complexity projects. They will be responsible for working closely with a team of engineers and consultants to provide engineering solutions and advice to clients to ensure positive outcomes. Primary responsibilities will include engineering analysis, design, and implementation oversight of mechanical systems for the vertical building industry. This position will be expected to work within the project's monetary budget, train, mentor, and collaborate with cross-functional teams to meet project goals and client expectations. Principal Responsibilities • Lead design efforts for the analysis of HVAC, plumbing and fire protection systems. Utilize engineering software and tools to create detailed designs, specifications, and calculations according to code requirements and IMEG standards • Interact with clients to understand their needs, gather project requirements, and communicate technical information effectively. Build and maintain client relationships through professional communication • Work as part of a project team to support the execution of consulting projects. Lead efforts in project planning, budgeting, and scheduling tasks to meet project deadlines and objectives. Document design decisions and instructions from clients while monitoring project design progress as related to percent complete and fee expended • Analyze engineering problems and propose innovative solutions. Collaborate with senior engineers and consultants to develop practical and efficient solutions • Provide in-process design reviews of HVAC, plumbing and fire protection system design, calculations, and specifications. Implement IMEG quality control processes to ensure that engineering designs and solutions meet IMEG quality standards, industry standards and client requirements • Stay up to date with industry trends, emerging technologies, and best practices in mechanical engineering. Contribute to research, development, and innovation efforts within IMEG • Prioritize safety in all aspects of engineering work. Identify and mitigate potential safety risks associated with mechanical systems • Collaborate with multidisciplinary teams, including other engineers, architects, and project managers, to deliver integrated solutions that meet project goals • Identify potential project problems and seek advice from the Project Manager • Oversee projects through bidding and construction administration phase Required Skills/Abilities • Proficiency in design techniques, tools, and concepts involved in the production of technical plans and specifications • Strong technical and analytical skills including proficiency of principles in thermodynamics, psychrometrics, heat transfer and fluid mechanics relating to mechanical design in HVAC, plumbing and fire protection systems • Strong training and mentoring skills • Proficiency of industry standard engineering software and tools including HVAC load calculation software • Excellent communication and interpersonal skills • Ability to work collaboratively in a team environment • Attention to detail and problem-solving skills • Eagerness to adapt to new challenges • Proficiency in the use of BIM software • Proficient with MS Office Suite including but not limited to Word, Excel, and Outlook • Ability to clearly communicate in both oral and written communication to individuals or groups • Ability to travel up to 15% with occasional overnight stays *This position not eligible for sponsorship Education and Experience • Bachelor of Science (BS) Degree in Mechanical Engineering, or equivalent, required • Professional Engineer (PE) License required • 5 years of experience minimum required, 6 preferred, in the building design consulting industry Physical Requirements • Regularly required to sit, walk, stand, talk, see, hear, and lift objects up to 25 pounds • Occasionally required to drive, kneel, stoop, crouch, crawl, reach with hands or arms, and grasp or pull • Will have limited exposure to outside weather conditions and loud noises Salary Range $92,000- $123,000. Minimums and maximums may vary based on location. Individual pay will be based on several factors including experience, knowledge, skills, and abilities of the applicant. Other rewards may include annual bonuses and stock ownership options. In addition, IMEG Corp. provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays, and paid time off (PTO). This information is being provided in compliance with local laws. Additional information regarding employee benefits may be found on our company website at **************** IMEG, an employee-owned corporation, is committed to investing in employees' futures through professional development programs and opportunities for career advancement. We offer a comprehensive benefits package including generous PTO, flexible schedule, and assistance with tuition reimbursement. Additionally, employees are eligible to enroll in health, dental, vision, and life insurance on their first day of employment. Want to learn more about IMEG and our other amazing career opportunities? Please visit https://****************/careers/. IMEG is committed to providing equal employment opportunities in all employment practices, without regard to race, color, religion, sex (including sexual orientation or gender identity), gender, national origin, disability, age, genetic information (including family medical history), parental status (including pregnancy, childbirth or related medical conditions including lactation), ethnic origin, hair type (including hairstyle or hair texture), citizenship status, marital status, military service, veteran's status, political affiliation, non-merit-based factors, or any other characteristic protected by law. In accordance with antidiscrimination law, it is the purpose of this policy to put into effect these principles and mandates. IMEG prohibits discrimination and harassment of any type. IMEG conforms to the spirit as well as to the letter of all applicable laws and regulations. All applicants have the right to request access, correction, and deletion of their personal information from our system. In order to make a request, please email ********************.