<p>About the Role</p><p>Our client is seeking an AI Data Engineer to design, build, and optimize data and AI pipelines within a modern Azure Databricks Lakehouse environment. This role sits at the intersection of data engineering, machine learning enablement, and cloud‑scale analytics, supporting advanced AI initiatives across the organization.</p><p>You will work closely with data scientists, ML engineers, and business stakeholders to deliver high‑quality data products, feature pipelines, and production‑ready AI workflows that power predictive analytics, generative AI, and operational intelligence</p><p><br></p><p>Key Responsibilities</p><ul><li>Design and build scalable data pipelines using Azure Databricks, Spark, and Delta Lake</li><li>Develop and optimize ETL/ELT workflows across Azure Data Lake Storage</li><li>Implement AI‑ready data architectures including feature stores and vector stores</li><li>Productionize ML and generative AI models using MLflow and Databricks Model Serving</li><li>Create and maintain medallion architecture for analytics and AI workloads</li><li>Develop SQL and PySpark transformations for large‑scale datasets</li><li>Integrate Azure services such as Data Factory, Event Hub, and Functions</li><li>Ensure data governance and security using Unity Catalog and RBAC</li><li>Monitor and optimize Databricks clusters for cost and performance</li><li>Support CI/CD automation using Azure DevOps</li></ul><p><br></p>
<p>Our client, a best-in-class construction/real estate company, is looking for several skilled Civil Engineers (all levels) to join their team in the Wilkes-Barre, Pennsylvania area. In this role, you will oversee a variety of engineering tasks, including designing, permitting, and supporting construction projects, while ensuring compliance with industry standards. The ideal candidate will have a strong background in civil engineering design, project coordination, and excellent communication abilities to work effectively with diverse stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Prepare comprehensive construction documents, including land development approvals and re-approvals, for multiple sites annually.</p><p>• Utilize tools such as Civil 3D and Trimble Propeller to support engineering design efforts.</p><p>• Provide support to the Excavation Division by addressing technical inquiries, generating machine and rover files, and conducting surveys and drone flights.</p><p>• Secure necessary permits and approvals for land development, subdivision, and related projects.</p><p>• Plan and design infrastructure for future development sites, including water, gas, electric, and storm sewer systems.</p><p>• Design roadways, pad grading, and earthwork plans while ensuring material accounting and environmental compliance.</p><p>• Obtain and manage Highway Occupancy Permits and other general permits for stream and wetland crossings.</p><p>• Coordinate with other design divisions to ensure alignment with company standards, building codes, and client needs.</p><p>• Collaborate with current and prospective tenants to understand and meet their specific requirements.</p><p>• Oversee subconsultants and ensure timely delivery of their contributions to the overall project.</p>
<p>We are seeking a skilled Software Engineer to join our growing technology team. In this role, you will be responsible for designing, developing, and maintaining high-quality software applications and APIs using modern .NET technologies. The ideal candidate has a strong foundation in C#, enjoys solving complex problems, and thrives in a collaborative, fast-paced environment.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, test, and maintain scalable software applications using .NET and C#.</li><li>Build and support RESTful APIs to enable integration with internal and external systems</li><li>Collaborate with product managers, architects, and other engineers to deliver high-quality solutions</li><li>Write clean, maintainable, and well-documented code</li><li>Participate in code reviews and contribute to continuous improvement of development standards</li><li>Troubleshoot, debug, and optimize existing applications</li><li>Stay current with emerging technologies and industry best practices</li></ul><p><br></p>
<p><strong>Job Overview:</strong></p><p>Our company is seeking a highly skilled DevOps Engineer to join our technology team in St. Louis. This role requires expertise in building, maintaining, and modernizing CI/CD pipelines, supporting the organization’s digital transformation initiatives, and enhancing operational efficiency through automation and modernization of legacy systems.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and manage continuous integration and continuous delivery (CI/CD) pipelines to automate testing, deployment, and releases.</li><li>Support code modernization projects by refactoring legacy code and employing agile development best practices.</li><li>Collaborate with development, QA, and IT teams to ensure seamless transitions between classic and modern systems.</li><li>Write and maintain automated unit and integration tests to guarantee system stability during updates and migrations.</li><li>Work with multiple programming languages, including legacy (e.g., COBOL, C) and modern (e.g., Python, Go), ensuring compatibility and smooth transition.</li><li>Proactively identify and resolve technical issues to maintain high availability and performance of applications and infrastructure.</li><li>Communicate complex technical concepts clearly to non-technical stakeholders and align cross-functional teams towards technology goals.</li><li>Participate in ongoing efforts to reduce technical debt and support IT modernization initiatives.</li></ul>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p>Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senior ETL Engineer - Position WEEKLY HYBRID position with major flexibility! FULL Microsoft On-Prem stack.</p><p><br></p><p>LOCATION : HYBRID WEEKLY in Des Moines. You must reside in the Des Moines area for weekly onsite . NO travel back and forth and not a remote position! If you live in Des Moines, eventually you can MOSTLY work remote!! This position has upside with training in Azure.</p><p><br></p><p>IMMEDIATE HIRE ! Solve real Business Problems.</p><p><br></p><p>Hands-On Technical SENIOR Microsoft Stack Data Engineer | SENIOR Data Warehouse Engineer / SENIOR Data Engineer / Senior ETL Developer / Azure Data Engineer / ( Direct Hire) who is looking to help modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD but FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting.</p><p><br></p><p>YOU WILL DOING ALL ASPECTS OF Data Engineering. Must have data warehouse & Data Lake skills. You will be in the technical weeds and technical data day to day BUT you could grow to the Technical Leader of this team. ETL skills like SSIS., working with disparate data. SSAS is a Plus! Fact and Dimension Data warehouse experience AND experience.</p><p>Hands-On Technical Hands-On Technical SENIOR Microsoft Stack Data Engineer / SENIOR Data Warehouse / SENIOR Data Engineer / Azure Data Factory Data Engineer This is a Permanent Direct Hire Hands-On Technical Manager of Data Engineering position with one of our clients in Des Moines up to 155K Plus bonus</p><p><br></p><p>PERKS: Bonus, 2 1/2 day weekends !</p>
<p>We are looking for a skilled AI Engineer to join our team. In this role, you will design, develop, and implement advanced AI-driven solutions to address complex business challenges. You will work on a variety of projects, including predictive analytics, intelligent automation, and machine learning model integration, while contributing to the development of scalable AI infrastructure.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models and algorithms to solve business problems effectively.</p><p>• Build scalable AI solutions that integrate seamlessly with existing systems.</p><p>• Design and maintain AI infrastructure, including data pipelines and model training environments.</p><p>• Collaborate with cross-functional teams to translate requirements into actionable AI designs.</p><p>• Optimize machine learning models to improve performance and reliability.</p><p>• Implement and test solutions using Test Driven Development methodologies.</p><p>• Stay updated on emerging AI technologies and recommend their adoption.</p><p>• Ensure ethical and responsible use of AI technologies.</p><p>• Participate in code reviews and share knowledge across the team.</p><p>• Document AI processes and maintain clear technical records.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This is a contract-to-permanent position, offering an exciting opportunity to apply cutting-edge AI technologies to real-world challenges. The ideal candidate will have a strong background in machine learning, data preprocessing, and model development, as well as a keen interest in exploring innovative AI tools and frameworks.<br><br>Responsibilities:<br>• Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI solutions into existing applications and services within secure on-premises environments.<br>• Experiment with large language models (LLMs) and agent-based coding tools to assess their potential for automation and analytics.<br>• Process and analyze structured and unstructured data from various internal systems to enhance model performance.<br>• Collaborate with teams to ensure compliance with Criminal Justice Information Systems and Personally Identifiable Information protection standards.<br>• Work alongside analysts and IT professionals to identify opportunities for AI-driven operational improvements.<br>• Participate in code reviews, testing, and deployment processes to ensure high-quality outcomes.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance principles.<br>• Conduct feature engineering and model evaluations to refine AI solutions.
<p>We are looking for an experienced Python Data/ML/AI Engineer to join our team in Tampa, Florida. This is a contract position with the potential for a long-term opportunity, offering the chance to work on challenging projects while contributing to the design and development of advanced data solutions. The ideal candidate will possess a strong background in data engineering, analytics, and database management, and will play a key role in transforming data into actionable insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement business intelligence solutions tailored to user requirements and organizational goals.</p><p>• Collaborate with stakeholders to gather technical and functional requirements, ensuring the successful creation of reporting solutions.</p><p>• Design, model, and maintain databases and data marts that support analytical and reporting needs.</p><p>• Build and manage ETL processes to efficiently load data into data repositories.</p><p>• Monitor and enhance data quality, recommending governance practices and controls for self-service analytics.</p><p>• Create automated validation and reconciliation checks to ensure data accuracy and integrity.</p><p>• Design data warehouses and implement dimensional modeling techniques such as star and snowflake schemas.</p><p>• Utilize programming languages like Python to clean, merge, and reshape data for analysis.</p><p>• Write optimized queries, functions, and stored procedures for databases such as SQL Server and PostgreSQL.</p><p>• Debug and troubleshoot issues across application and database layers to ensure seamless operations.</p>
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p>Robert Half Technology is hiring a <strong>Senior Automation Engineer</strong> to support an expanding enterprise SaaS platform. This is a hands-on, highly technical role where you’ll <strong>advance automation strategy and architecture</strong>, strengthen test coverage across the stack, and partner closely with Engineering, UI/UX, DevOps, and Product to embed quality throughout the SDLC. 🚀</p><p>If you thrive in agile teams, enjoy building scalable automation frameworks, and can deliver quickly while raising engineering standards, this role is for you. ✅</p><p><strong> </strong></p><p>Responsibilities</p><ul><li>Own and evolve automation capabilities across business-critical testing processes (UI, API, integration, back-end, performance).</li><li>Design, develop, and execute automated tests across all layers of the stack:</li><li><strong>UI automation:</strong> Selenium</li><li><strong>API testing:</strong> Rest Assured (or equivalent)</li><li><strong>Data validation & test data creation:</strong> SQL</li><li>Serve as a full-stack Senior Automation Engineer in agile teams using <strong>Selenium + Maven in IntelliJ</strong>, applying strong <strong>Java/OOP</strong> design patterns and coding standards.</li><li>Build and maintain automation for functional, integration, API, and back-end tests (including file upload/download, email parsing, multi-browser, and security validations).</li><li>Develop advanced SQL queries to validate data integrity and generate automated test data.</li><li>Support containerized test execution: build/maintain frameworks within <strong>Docker</strong> and partner with DevOps on scalable environments.</li><li>Implement and execute performance/load testing frameworks; analyze results and communicate quality insights.</li><li>Contribute to unit test strategies; collaborate with developers to increase application-level test coverage.</li><li>Establish/enforce coding standards and conduct code reviews for QA automation initiatives.</li><li>Mentor automation engineers and promote best practices across the QA organization.</li><li>Troubleshoot and resolve blockers from automated regression suites; improve suite stability and reliability.</li><li>Participate in defect management, bug triage, backlog grooming, and sprint ceremonies; provide actionable QA feedback during design/build phases.</li><li>Support QA leadership with metrics, reporting, and trend analysis to measure automation effectiveness and product quality. 📈</li></ul><p><br></p>
<p>We are looking for a <strong>Senior Software Engineer</strong> with deep experience in <strong>C#, .NET, and Microsoft Azure</strong>, who is excited to build and integrate <strong>AI-powered features</strong> into modern applications. In this role, you will design scalable cloud solutions, integrate AI services (LLMs, cognitive services, and APIs), and help drive the adoption of intelligent automation and data-driven capabilities across the platform.</p><p>This role is ideal for a hands-on engineer who understands how to <strong>apply AI pragmatically</strong>—not just experiment with it.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable applications using <strong>C# and .NET (.NET Core / .NET 6+)</strong></li><li>Build cloud-native solutions leveraging <strong>Microsoft Azure</strong></li><li>Integrate <strong>AI and ML services</strong> into applications (e.g., Azure OpenAI, Cognitive Services, third-party AI APIs)</li><li>Design and consume <strong>RESTful APIs</strong> and microservices</li><li>Implement AI-driven features such as:</li><li>Intelligent search and recommendations</li><li>Natural language processing (chat, summarization, classification)</li><li>Automation and decision-support workflows</li><li>Collaborate with product, data, and engineering teams to translate business needs into technical solutions</li><li>Participate in architecture discussions, code reviews, and technical design</li><li>Optimize application performance, security, and reliability</li><li>Implement CI/CD pipelines and DevOps best practices</li><li>Mentor junior engineers and contribute to engineering standards</li></ul><p><br></p>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
Title: Software Engineer<br>The Software Engineer is a full-stack developer responsible for designing, developing, testing, and maintaining software applications that support the organization’s mission. This role combines technical expertise across multiple platforms and programming languages with a strong understanding of business objectives. The successful candidate will deliver high-quality, maintainable solutions within an agile team environment, independently executing moderate to complex technical work and contributing to architecture and implementation efforts.<br>The Software Engineer collaborates with teammates, clients, vendors, and internal partners to develop custom applications, enhance vendor systems, and support integrations connecting systems to broader organizational platforms. Responsibilities include system design, database development, API creation and consumption, testing, and support for on-premise and cloud-based solutions. The role also supports deployment automation, infrastructure maintenance, and DevOps practices. Strong analytical, problem-solving, and communication skills are essential for success.<br><br>Key Responsibilities<br><br>Design, develop, test, and maintain custom software solutions aligned with organizational standards.<br>Translate technical requirements into functional components.<br>Participate in architecture discussions and contribute to decisions on system structure, integration, and performance optimization.<br>Develop and consume APIs and web services for interoperability.<br>Maintain and enhance database-driven applications using Oracle PL/SQL and APEX.<br>Implement unit testing, automated testing frameworks, and follow version control and release management best practices.<br>Support infrastructure and applications in on-premises and cloud environments.<br>Contribute to deployment automation and DevOps workflows.<br>Create and maintain documentation for systems, integrations, and processes.<br>Collaborate with stakeholders to clarify requirements and deliver technical solutions.<br>Support vendor system implementations and integrations.<br>Participate in agile ceremonies, code reviews, and knowledge sharing.<br>Engage in continuous learning to stay current with tools, languages, and frameworks.<br>Demonstrate commitment to diversity, inclusion, and cultural awareness.<br><br><br>Required Qualifications<br><br>Bachelor’s degree in Computer Science or related field.<br>5–8 years of professional software engineering experience.<br>Expertise in:<br><br>Full-stack development.<br>Oracle PL/SQL, SQL, APEX for complex queries, data migrations, schema management, and performance tuning.<br>One or more programming languages (Python, JavaScript, Java, C#).<br>Front-end development (HTML, CSS, JavaScript).<br>RESTful APIs and system integration.<br>Version control (Git, SVN) and collaborative workflows.<br>Internet communication components (DNS, SMTP) and security protocols (SSL/TLS).<br><br><br>Familiarity with DevOps principles and CI/CD tools.<br>Strong problem-solving, communication, and teamwork skills.<br><br><br>Preferred Qualifications<br><br>Experience with vendor system integration and ERP platforms (Advancement, SIS, Finance, HR).<br>Knowledge of data governance and compliance standards (FERPA, HIPAA, GDPR).<br>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).<br>Exposure to Agile methodologies and tools.<br>Understanding of institutional workflows.<br>Practical experience in database administration and application upgrade procedures.
We are looking for an experienced IAM Engineer to join our team in King of Prussia, Pennsylvania. In this role, you will design and implement comprehensive identity and access management solutions across hybrid environments, ensuring secure and efficient access for employees, contractors, and vendors. This is a long-term contract position within the energy and natural resources industry, offering a dynamic opportunity to collaborate on cutting-edge cybersecurity initiatives.<br><br>Responsibilities:<br>• Design and deploy scalable identity and access management solutions for multi-cloud and on-premises systems.<br>• Develop and maintain automation scripts using tools like PowerShell and VBScript to streamline IAM processes.<br>• Configure and manage authentication, authorization, and identity governance systems for enhanced security.<br>• Collaborate with application teams to integrate IAM requirements seamlessly into existing systems.<br>• Monitor IAM system performance and address incidents to ensure high availability and reliability.<br>• Apply system updates, patches, and configuration changes to maintain security standards.<br>• Implement backup and disaster recovery procedures tailored to IAM systems.<br>• Create and update technical documentation and architecture for IAM solutions.<br>• Support audits, risk assessments, and validation of security controls.<br>• Provide technical guidance and mentorship to team members, fostering knowledge sharing.
<p>Job Summary:</p><p><br></p><p>We are seeking a skilled and motivated System Engineer to join our team in New York City. As a System Engineer, you will be responsible for maintaining and optimizing our IT infrastructure, ensuring the smooth operation of our systems, and providing technical support to end-users. The ideal candidate should have 5+ years of experience in system administration, with a strong focus on Azure, Windows, Active Directory, VMware, Barracuda Backups Appliance, SAN Nimble storage, and MFT/SFTP technologies.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p><br></p><p>Manage and maintain the company's IT infrastructure, including servers, storage systems, network devices, and related components.</p><p>Monitor and troubleshoot system performance, ensuring high availability and reliability of all systems.</p><p>Configure and administer Azure cloud services, including virtual machines, storage, networking, and security.</p><p>Oversee the Windows server environment, including installation, configuration, and maintenance of servers and services.</p><p>Manage Active Directory, including user accounts, group policies, security permissions, and domain services.</p><p>Perform virtualization tasks using VMware, including server provisioning, virtual machine management, and troubleshooting.</p><p>Administer and monitor Barracuda Backups Appliance for data backup and recovery operations.</p><p>Maintain and support SAN Nimble storage systems, ensuring optimal performance and availability.</p><p>Collaborate with cross-functional teams to implement and maintain secure file transfer protocols (MFT) and secure file transfer protocol (SFTP) solutions.</p><p>Perform system upgrades, patches, and security updates in accordance with industry best practices.</p><p>Provide technical support to end-users, resolving issues related to hardware, software, and network connectivity.</p><p>Create and maintain documentation related to system configurations, procedures, and troubleshooting guides.</p><p><br></p><p><br></p><p><br></p>
<p>Job Title:</p><p>Principal Engineer I - Full Stack Developer</p><p><br></p><p>What you'll do:</p><p>The role is part of Digital Banking team, specifically working on Digital Account Onboarding (DAO) platform and technologies. As a Principal Engineer I you'll provide SME expertise in your respective domain as well as adjacent domains to ensure solutions are safe, secure, compliant and reliable. You'll identify development and support needs as well as take on large and complex design responsibilities supporting project tasks. You'll also engage with project and business sponsors refining requirements and objectives of targeted solutions. As a Principal Engineer I, you also facilitate dialogue and activities, and work to ensure team collaboration including teams outside of your domain. In this role, you'll also develop the technical features while also guiding junior engineers.</p><p>Work on the current DAO platform Temenos to integrate, develop new features while enhancing the existing feature in alignment with business requirements and priorities</p><p>Provide production support, timely resolution of incidents, and communication to business stakeholders</p><p>Build the solution design of efforts that can be handed off to lower level engineers for execution assuring reuse of platforms where possible.</p><p>Review technical plans developed by lower level engineers and analysts to assure quality designs prevail which can support the volumetrics of our business partners objectives.</p><p>Build comprehensive measurement dashboards that give performance insight into key applications of the bank which can feed operational results of our business partners.</p><p>Work independently or sometimes with architecture team counterparts to lay out the final documentation required for proper ongoing reference of the given solution, including physical and logical layouts with cross reference to use case models while enforcing standards, as well as assisting in the modification or buildout of procedures that support areas of operations across IT.</p>
<p>The Software Engineer will design, build, and deliver high-quality, maintainable software that powers our core products and platforms. You’ll own features end-to-end — from requirements and architecture through implementation, testing, and production monitoring — while collaborating across engineering, QA, and hardware teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Translate product requirements into clean, detailed engineering specifications and architecture designs</li><li>Write robust, testable, and performant code in our primary stack (Python, Go, Java, TypeScript, or similar)</li><li>Collaborate with QA to create comprehensive test plans (unit, integration, E2E) and ensure high test coverage</li><li>Partner with hardware/embedded engineers to design, integrate, and validate software-hardware interactions</li><li>Drive adoption of consistent development methodologies (Agile, Scrum, or Kanban) within the team</li><li>Produce clear, up-to-date technical documentation: design docs, API specs, runbooks, and onboarding guides</li><li>Participate in code reviews, pair programming, and architecture discussions</li><li>Instrument code for observability and own the reliability of the features you ship</li><li>Continuously improve engineering practices, tooling, and velocity</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, or equivalent experience</li><li>3–8+ years of professional software development experience</li><li>Strong proficiency in at least one major backend language (Python, Go, Java, Node.js, C#, Rust) and related ecosystems</li><li>Proven ability to design systems and write production-grade code that is clean, tested, and maintainable</li><li>Experience collaborating with QA on test plans and automation</li><li>Comfortable reading and writing technical specifications and architecture diagrams</li><li>Solid grasp of data structures, algorithms, and software design patterns</li><li>Proficiency with version control (Git) and modern development workflows</li></ul><p><br></p>
<p><strong><em><u>Client </u></em></strong>= Consumer Insights Marketing & Rewards Platform w/ Fortune 1000 clientele</p><p><strong><em><u>Job Title</u></em></strong> = Sr. ML Engineer</p><p><strong><em><u>Location </u></em></strong>= Hybrid 3x onsite per week in El Segundo or Thousand Oaks</p><p><strong><em><u>Top Requirements (Must Haves)</u></em></strong></p><p> -- Bachelor's or higher in a related field + 3+ years of experience as a ML Engineer</p><p> -- Expertise in Python for writing production-quality code and SQL for big data exploratory analysis and feature engineering</p><p> -- Proven expertise in machine learning techniques and algorithms (e.g., DNN, Boosting Trees, Random Forests) with the ability to evaluate and adapt models to specific situations</p><p> -- Hands-on expertise with cloud data environments + containerization like Docker and Kubernetes + large scale distributed computing</p><p> -- Comfortable working with overseas teams (EU and India) and working outside of typical work hours from time-to-time</p>
<p><strong>Overview</strong></p><p>We’re looking for a hands-on Senior Network Engineer to take ownership of a large-scale manufacturing site’s network infrastructure. This role involves reverse-engineering and documenting the current environment, addressing technical debt, and redesigning network architecture to support future automation goals. You’ll work in a Cisco-based environment with Fortinet firewalls and collaborate closely with IT and OT teams to ensure secure, reliable connectivity across a 24x7 operation. If you have strong networking expertise and thrive in complex, project-driven environments, this is an excellent opportunity to make a significant impact.</p><p><br></p><p><strong>POSITION: SENIOR NETWORK ENGINEER</strong></p><p><strong>LOCATION: WILMER, TX - ONSITE</strong></p><p><strong>DURATION: 6-12 MONTHS POSSIBLITILY TO CONVERT</strong></p><p><strong>RATE: $70 - $80/HOUR</strong></p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze and document the existing network using tools like Confluence and Draw.io.</li><li>Redesign network architecture to improve performance, security, and scalability.</li><li>Support legacy domain centralization and security architecture enhancements.</li><li>Maintain and optimize Cisco networking components (routing, switching, wireless).</li><li>Collaborate with IT and OT teams to ensure seamless integration with manufacturing systems.</li><li>Partner with vendors to resolve complex technical issues.</li><li>Contribute to the long-term goal of creating a fully autonomous site operation.</li></ul><p><br></p>
<p><strong>Role Overview</strong></p><p>We are seeking an experienced <strong>A/V Systems Design Engineer</strong> to support continued company growth and long‑term succession planning as multiple senior engineers approach retirement over the next several years.</p><p>This role is responsible for <strong>end‑to‑end A/V system design</strong>, supporting projects from <strong>pre‑sales and quoting through final commissioning</strong>. Unlike organizations that silo design, CAD, and field engineering, this position requires <strong>cradle‑to‑grave ownership</strong>—designing systems in detail, preparing accurate cost models, collaborating with delivery teams, and ensuring successful execution in the field.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Pre‑Sales & Design</strong></p><ul><li>Translate <strong>Statements of Work (SOWs)</strong> from sales into complete technical designs</li><li>Create <strong>Bills of Materials (BOMs)</strong> including hardware, labor, and execution parameters</li><li>Design A/V systems so sales quotes reflect <strong>fully inclusive, accurate project costs</strong></li><li>Define how systems will be installed, configured, and delivered prior to project win</li></ul><p><strong>Engineering & Documentation</strong></p><ul><li>Develop detailed <strong>2D CAD drawings</strong> for awarded projects</li><li>Oversee or coordinate outsourced CAD or 3D design work when required</li><li>Maintain technical ownership of system architecture and performance requirements</li></ul><p><strong>Project Execution & Closeout</strong></p><ul><li>Initiate and manage <strong>equipment ordering</strong></li><li>Participate in project calls with project managers, coordinators, and field teams</li><li>Support and/or perform <strong>system testing and commissioning</strong>, including final system validation</li><li>Provide field support as needed to ensure proper system execution</li></ul>
<p>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).</li><li>Strong programming skills in Python (preferred) or similar languages.</li><li>Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.</li><li>Experience with data preprocessing, feature engineering, and model optimization techniques.</li><li>Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Familiarity with big data tools like Spark, Hadoop, or equivalent.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.</li><li>Excellent problem-solving and communication skills.</li></ul><p><br></p>
<p>IMMEDIATE HIRE!!!</p><p><br></p><p>PERMANENT FTE POSITION: IT CYBER SECURITY ENGINEER - Direct Hire Permanent</p><p><br></p><p>LOCATION /OFFICE Des Moines, IA – ONSITE IN OFFICE</p><p><br></p><p>SALARY: up to $105,000 base annual salary with benefits</p><p><br></p><p>Security Engineer: Pen Testing remediation; identify Security Vulnerabilities, data & Network security, Security Frameworks!</p><p><br></p><p>*** For immediate and confidential consideration, please send a message to CARRIE DANGER on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p><br></p><p>IT CYBER SECURITY ENGINEER - are you looking to grow your</p><p><br></p><p>*** For immediate and confidential consideration, please send a message to CARRIE DANGER on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-259-6087 or mobile: 515-991-0863. Or one click apply on our Robert Half website. No third party inquiries please. Must be eligible to work in US</p>
