Senior Project Engineer jobs at Colliers Engineering & Design

Senior Project Engineer | Allied Resources Technical Consultants Allied Resources is seeking a Senior Project Engineer to support a major public-works construction project in the Philadelphia area. The position offers a competitive compensation and benefits package including medical, dental, vision, 401k with company match, paid time off, disability coverage, parental leave, volunteer days, and more. Job Responsibilities: Support day-to-day project coordination on a large public-works or commercial construction project, working closely with project managers, superintendents, subcontractors, and design teams. Assist with developing and maintaining project schedules, tracking progress, and preparing updates for project leadership. Manage and organize project documentation including submittals, RFIs, change orders, meeting minutes, and daily reports. Perform quantity takeoffs, track material usage, and support cost control and forecasting efforts. Review drawings, specifications, and contract documents to identify issues, inconsistencies, or potential conflicts. Support procurement activities including scope reviews, vendor coordination, material tracking, and delivery schedules. Provide technical assistance to field teams, helping troubleshoot constructability concerns and support quality control efforts. Participate in site walks, coordination meetings, and inspections; assist with punch lists, project closeout, and turnover documentation. Collaborate with internal and external stakeholders to keep communication clear, accurate, and organized throughout all phases of the project. Contribute to the implementation of safety, quality, and operational best practices across the project. Qualifications: Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, Architecture, or a related field preferred; equivalent experience welcomed. 2+ years of experience working as a Project Engineer, Senior Project Engineer, or similar construction engineering role. Experience supporting commercial, institutional, industrial, or public-works construction projects. Ability to read and understand construction drawings, technical specifications, and contract documents. Strong organizational and communication skills with the ability to manage multiple tasks in a fast-paced environment. Familiarity with construction or project management software (such as Procore, Bluebeam, P6, or equivalent). Strong problem-solving abilities and attention to detail. Valid driver's license and reliable transportation required. EEO Policy: Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status, or any other status protected by law.

This is a hands-on, fit-focused Technical Design role supporting Women's RTW apparel, with a focus on soft wovens and cut-and-sew knits. The Technical Designer will own the technical development process from design handoff through production, partnering closely with Design, Product Development, and overseas vendors to ensure fit accuracy, quality, and consistency. Key Responsibilities: Own the full technical development lifecycle from design handoff through production Create and maintain detailed tech packs, graded spec sheets, construction details, and BOMs Lead and document fit sessions on live models across a range of sizes Analyze and resolve fit and construction issues in collaboration with cross-functional teams Communicate clear, actionable fit comments to overseas factories Review and approve SMS, PP, and TOP samples Ensure consistency in fit, quality, and construction across styles and fabrications Maintain accurate documentation in PLM systems and manage development calendars Qualifications: 5-7+ years of experience as a Women's RTW Technical Designer Strong knowledge of garment construction, patternmaking, grading, and fit Proficiency in Adobe Illustrator, Excel, and PLM systems (FlexPLM, Centric, WFX, or similar) Experience fitting a wide range of body types and sizes Strong communication, organization, and problem-solving skills Experience working with overseas vendors and global production Degree in Technical Design, Patternmaking, or Fashion Design preferred Experience with CLO3D or Browzwear is a plus

A fast-growing, trend-forward fashion brand known for delivering the latest must-have styles in contemporary Women's Ready-to-Wear lookng for a Technical Designer. Overview - Technical Designer We're seeking a skilled Technical Designer to join this high-energy team and play a key role in bringing each collection to life. You'll be the expert behind the precision-owning the fit, quality, and construction process from development through production. If you have a passion for detail and thrive in a fast-paced fashion environment, this is your opportunity to make a lasting impact. Key Responsibilities Lead the technical design process across seasonal collections, ensuring each garment meets high standards of fit, function, and quality Create and manage detailed fit comment documents addressing garment specs, fabric performance, construction, stitch, and trim execution Accurately measure samples to identify inconsistencies, issue clear fit comments, and maintain development timelines Drive fit sessions in collaboration with cross-functional teams, offering strategic recommendations to improve garment execution Provide vendors with precise grading guidelines and ensure consistent fit across all size ranges Own the sample approval process, thoroughly evaluating fit, measurements, construction, hanger appeal, and performance Qualifications Degree in Technical Design, Product Development, or related field preferred Minimum 5 years of technical design experience in contemporary or RTW categories Advanced knowledge of garment construction, pattern-making, and fit for woven and knit apparel Proficiency in Adobe Illustrator, Photoshop, and Excel Strong communication and problem-solving skills with a collaborative, solutions-driven mindset

A leading apparel brand is seeking a Sr. Technical Designer to join their team. This is a senior-level role focused on technical execution, fit leadership, and cross-functional collaboration from proto to TOP. Ideal for someone who thrives in a fast-paced, hands-on environment. Key Responsibilities: Engineer tech packs with a focus on cost-effective, first-pass fit approvals Lead model fittings, evaluate samples, and align with buyers on fit intent Create detailed fit reports and communicate clearly with factories Own grading and ensure consistent sizing and fit across styles Apply strong garment construction knowledge across knits and wovens Collaborate across departments to support fabric, fit, and product quality Maintain speed, accuracy, and professionalism in high-volume settings Ideal Background: 12+ years of experience in technical design, with a strong track record leading fit sessions Deep understanding of knits, wovens, and fabric performance (GSM, modulus, warp/weft, etc.) Proficient in grading, proto-to-TOP processes, and PLM systems Highly knowledgeable in standard model measurements Clear communicator with strong ownership of the technical process Interested? Please email your updated resume and responses to the following: Have you interviewed or applied with any LA-based apparel brands in the past year? If so, when and for which role(s)? When would you be available to start? Do you have any upcoming vacations or time off planned?

Fleur du Mal is a luxury lingerie and ready-to-wear brand founded in 2012 by Jennifer Zuccarini. Our product is distributed online at fleurdumal.com, in Fleur du Mal Boutiques, and with top retailers around the world. As a Senior RTW Technical Designer you will be joining our passionate and close-knit production team. Working hands-on with Creative and Technical Designers in live fittings to collaborate on fit solutions and quality improvements for perfecting fit and achieving exquisite craftsmanship across a wide range of categories. As a key player to an iconic brand, you also will have the opportunity to see your work showcased daily through various platforms. Duties and Responsibilities: Measure and evaluate samples, prepare specific for fitting sessions. Leads weekly fit sessions. Collaborate with designers to translate fit and aesthetic details. Build detailed tech packs including sketches, construction specifications and graded specs. Maintains fit consistency for product area. Ensure standard grade rules are applied to each garment. Communicate with overseas factories to ensure all styles, fits, construction, and specs meet the standards. Work closely with designers and Production to execute the Time and Action calendar and manage the sample approval process. Provides technical direction, in collaboration with peer teams, supervisor and vendor on matters pertaining to specs, pattern, construction methods and techniques to improve fit, balance, and overall quality of the garment. Ensures Product Lifecycle Calendar dates are met for Development and Garment Fit Approvals. Anticipates and resolves any problems with the fit process. Partners with vendors in the resolution of problems as necessary. Qualifications: Holds self and others accountable for work commitments and outcomes. Minimum AA or Certification in Apparel Manufacturing, Design, Pattern making. Specialist in fit / knowledge of construction standards and manufacturing methods. Excellent verbal and written communication skills. Computer skills Illustrator, Outlook, MS Excel, MS Word. Strong communication and presentation skills. Highly organized, including ability to prioritize and follow-up. Pattern Making knowledge. Ability to meet deadline demands. 4-6 years industry experience. Additional Details: Full-Time On-Site Mon-Fri Annual Salary: $90,000 - $100,000 BOE To further express interest in this opportunity, you are welcomed to email ******************** detailing why you think this role would be a fit for you.

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!

Join our Digital Assets Engineering team to design, develop, and secure smart contracts powering tokenization, custody, and settlement solutions. You will work on cutting-edge blockchain integrations within a regulated financial environment, ensuring scalability, security, and compliance. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90 - $99 / hr. w2 Responsibilities • Design and implement secure, efficient smart contracts for tokenization and digital asset workflows • Collaborate with product and architecture teams to integrate contracts with EVM-compatible chains and enterprise systems • Conduct code reviews, enforce best practices, and ensure compliance with internal security standards • Implement automated testing frameworks for smart contract deployments • Work closely with cybersecurity teams to address vulnerabilities and engage in external security vendor audit of our smart contracts • Optimize performance and scalability for high-volume transaction environments Experience Requirements • 3+ years of development experience in blockchain and smart contracts • Proficiency in Solidity and smart contract development • Experience with Ethereum, Hyperledger Besu, and EVM-based platforms • Strong understanding of tokenization standards (e.g., EIP-7702, EIP-712, ERC-1451) • Knowledge of cryptographic principles, MPC, and secure key management Preferred Experience • Financial services or regulated environments • Integration with custody and settlement systems • Agile development and DevSecOps practices • Java • Spring Boot Education Requirements Preferred Certifications • C4 Ethereum Developer • Cyfrin Smart Contract Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************. Job ID: JN -122025-104583

The Senior Project Engineer is responsible for ensuring administrative, contractual, financial and technical aspects of the assigned project(s) being executed. Senior Project Engineer will be reporting to the Project Manager and/or Superintendent. The Senior Project Engineer will supervise a team of skilled Project Engineer professionals who support departmental and organizational goals through their efforts. Job Responsibilities includes (but may not be limited to): Assists Project Manager and Superintendent in the management of construction projects, which involves cost control, expediting, quantity take-off, scheduling and safety. Develop peer constructability review of design documents. Develop, input and update project schedule as directed. Assist with the coordination, development and accuracy of the project estimate, budget, revisions, cost coding, and prepare cash flow charts. Analyze changes to contract documents, i.e. Owner Change Order Requests (CORs), Subcontractor Change Orders (SCOs). Review revised cost reports with Project Manager and assist in establishing final costs.Attend and participate in monthly job reviews. Work with Project Manager to perform a thorough and objective bid analysis using all applicable components. Prepare subcontractor Schedule of Values and monthly owner billings with Project Manager and Project Superintendent. Other duties upon request. Qualifications: 4+ years of experience as a Project Engineer in commercial construction industry. Bachelor's degree in Construction Management of Engineering or related field. Proficient computer skills in Microsoft Office Suite, Project Management software (Viewpoint or similar) and Scheduling software (Primavera or similar). Apply a complete and proficient understanding of construction management, engineering, safety, scheduling, estimating, budgets, costing and procurement. Analyzing and interpreting data. Effective verbal and written communication skills. Multi-tasking in a fast paced environment. Strong leadership, detail oriented, problem solving, initiative and teamwork. Proven ability to fulfill project development to project closeout responsibilities. Working Conditions: Duties required physical abilities such as repetitive hand/finger motions, arm extensions, sitting, standing, and walking jobsites that include uneven and changing site conditions. As well as climbing stairs and ladders, etc. The individual is required to occasionally move around the office and constantly operate a computer and other office machinery, etc. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Level 10 Construction is an Equal Opportunity Employer M/F/Disability/Veterans. All applicants applying must be authorized to work in the United States.

- 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.

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.

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.

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.

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.

Job Title: Machine Learning Data Engineer Duration - 12+ months ---------------------------------------------------- We are seeking a detail-oriented Machine Learning Data Engineer to join our team. As an ML Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and load data from various sources into our cloud-based systems. You will work closely with machine learning teams to ensure that data is accurate, enriched, reliable, and readily available for analytics and model training. Responsibilities: Design and Build Data Pipelines: Create efficient, reliable, streamable, and scalable data pipelines using industry-standard tools and techniques, such as TorchData, WebDataset, Apache Parquet., Python, and SQL. Data Ingestion: Develop strategies for ingesting data from data providers, ensuring data quality and consistency. Data Pre-processing: Implement parallel pre-processing to clean, transform, de-duplicate, combine and normalize data. Data Curation and Enrichment: Curate, augment, and enrich existing datasets to improve data quality and provide valuable insights to stakeholders. Synthetic Data Generation: Collaborate with synthetic data teams to generate data and incorporate into existing pipelines. Collaboration with ML Teams: Work closely with ML scientists, engineers, and product teams to understand data requirements, and collaborate on data delivery. Monitoring, Maintenance & Updating: Monitor data pipelines for performance, errors, and bottlenecks, and implement regular maintenance and updates. Stay updated with the latest trends and incorporate best practices into data pipelines. Technical Documentation: Document data pipelines, settings, and procedures for easy maintenance and knowledge sharing. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 3 years of experience as a Software Engineer or Data Engineer. Strong software engineering skills, proficiency in Python Experience with data processing tools and formats such as Apache Parquet, WebDataset, TorchData, Pandas, Shell Scripting, Protobuf, TFRecord Knowledge of data warehouse architectures and cloud-based systems (e.g., AWS S3). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Preferred Qualifications: Master's degree in Data Science or a related field. Experience with data curation and enrichment techniques, particularly for large scale text, image and video data Familiarity with natural language processing (NLP), machine learning (ML) concepts and frameworks (PyTorch) Location: Seattle, WA (in-person 3 days/wk, remote 2 days/wk)

Senior Software Engineer Our client is seeking a Senior Software Engineer to lead the development of a high-impact software initiative. This role is ideal for an experienced engineer who can operate independently, build reliable cloud-native systems, and drive hands-on development from concept to production. Senior Software Engineer Responsibilities Design, build, and deploy a cloud-native API solution that enables an agentic AI system to retrieve, interpret, and return available service appointment data. Architect and implement Node.js services that interface with internal systems, external APIs, and custom integrations between calendars and CRM workflows. Develop scalable, well-structured back-end services using modern JavaScript and best practices in API design and system architecture. Create and optimize data queries and endpoints to expose appointment availability and ensure reliable communication between the AI agent and internal business systems. Manage development pipelines and apply basic DevOps practices to support efficient deployment, testing, and monitoring. Collaborate with a small, technical stakeholder group while maintaining autonomy over coding, solution design, and technical decision-making. Troubleshoot, debug, and enhance system performance to ensure reliability and scalability for future projects. Senior Software Engineer Qualifications Extensive experience developing back-end services with Node.js and modern JavaScript in a production environment. Strong background in API development, cloud architecture (preferably Azure), and building scalable service layers. Hands-on experience with cloud-native development and fundamental DevOps concepts, including pipelines and CI/CD workflows. Ability to independently design, build, and support complex integrations across multiple systems. Proven skill in diagnosing issues, optimizing performance, and solving complex engineering challenges. Experience working with database queries and building APIs that expose structured results. Familiarity with developing solutions that support large or multi-location operations. Bachelor's degree in Computer Science or a related discipline, or equivalent professional experience.

Applications Engineer (ServiceNow) 100000.00 USD - 130000.00 USD is remote however candidates must be based in LA (preference), NY, DC, OC, HOU, or DAL Our client, an Am Law 100 firm, is seeking an experienced Applications Engineer to support and enhance its global ServiceNow platform. ServiceNow serves as the firm's enterprise platform and system of record for change management, configuration (CMDB), incidents, asset management, knowledge base, service requests, and other ITSM/ITOM functions. The Applications Engineer will play a critical role in maintaining the stability, performance, and security of the platform while also supporting strategic enhancements and integrations. Key Responsibilities: Lead administrative tasks, including ServiceNow upgrades, configurations, and patch management Develop and implement platform enhancements following ServiceNow best practices Monitor and maintain MID Servers to ensure uptime and proper configuration Provide daily operational support for the ServiceNow platform and its core capabilities Collaborate on building integrations using the ServiceNow Integration Hub Gather and document business requirements, write user stories, and define acceptance criteria using Agile/Scrum methodologies Ensure platform compliance with firm-wide security policies and ISO 27001/2 standards Develop dashboards and reporting solutions for business stakeholders Support ITSM process adherence and governance Required Qualifications: Bachelor's degree or equivalent experience Minimum 4 years of experience working with the ServiceNow platform, including ITSM and ITOM modules Minimum 4 years of experience in IT operations, working collaboratively across multiple IT teams Solid understanding of the ServiceNow platform architecture and best practices Preferred Qualifications: Experience with ServiceNow HAM Pro Familiarity with ITIL frameworks and ITSM methodologies Experience with ServiceNow CMDB, Common Services Data Model (CSDM), Discovery, and Service Mapping Strong interpersonal and communication skills with the ability to work effectively across diverse teams This is a high-impact role ideal for a ServiceNow expert looking to advance their career within a well-established and collaborative IT environment Salary 100,000.00 - 130,000.00 (USD) Package Details Bonus & full benefits There are 4 people on the team currently. They are seeking candidates who have hands on experience with ServiceNow who can support and be responsible the administration of it. This role will also assist with BA requirements in terms of gathering requirements and hosting workshops with process owners, etc. This role will be both back facing and front facing.

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.

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.

Lead Building Engineer Direct Hire; $75K - $96K plus bonus potential Reston, Virginia 20191 As an area Chief Building Engineer, you will be joining a dynamic property management team to maintain the operation and safety of three Class A office buildings! You will cultivate strong relationships with vendors, tenants, and the property management team daily to work collaboratively and efficiently! Make an impact (Accountability) You will monitor the operating condition, control parameters, and supervise all maintenance of the building's HVAC systems. (Accountability) You will perform unscheduled maintenance calls, including routine plumbing emergencies, minor equipment malfunctions, hot/cold calls, electrical and lighting repairs, and minor structural repairs (ceiling, ceramic/vinyl tile, floor, door, etc.) You will oversee and assist CM/PM with onsite tenant upfits and building improvement projects. You will develop and maintain strong tenant and vendor relationships You will perform and coordinate preventive maintenance and maintain records on all building equipment You will be responsible for changing ceiling tiles, light bulbs, filters, ballasts, etc. You will proactively conduct tours of the building and grounds to look for deficiencies and coordinate/initiate repairs (Such as stained ceiling tiles, slamming doors, broken restroom equipment, etc.) You will respond to emergency calls after hours on an as needed basis You will prioritize service calls and follow-up upon completion. (Responsibility) You will promote and maintain a safe work environment You will exhibit a strong understanding of the fire alarm panel and its operations You will promote and maintain energy efficiency for building operations to include but not limited to electrical, water and gas consumption You will oversee and inspect the work performed by outside contractors Perform other duties as required What you should bring You should have 5-7 five years' experience in HVAC maintenance with an emphasis on preventive maintenance, energy management, generator operations and troubleshooting techniques. Strong electrical, plumbing and HVAC skills. Good verbal and written communication skills. Ability to prioritize work and to be a self-starter as well as a motivated team player. Good trouble shooting skills. Degree/Certificate High School or GED Some Trade School Technical training classes Or State License Universal Certification Personalized Connection: Connect with an employee who resonates with your professional interests. Inclusivity: Embrace diversity by choosing a conversation partner from various backgrounds and roles.