<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
We are looking for an accomplished Senior Java Engineer & Architect to strengthen and modernize critical business applications in Salt Lake City, Utah. This position blends technical leadership with hands-on development, focusing on dependable architecture, scalable solutions, and practical improvements that support daily operations. You will collaborate with business stakeholders and a small technology team to enhance internal platforms, streamline workflows, and identify effective opportunities for automation and emerging tools.<br><br>Responsibilities:<br>• Design, develop, and refine Java-based applications that support core business processes and long-term operational goals.<br>• Create architectural plans that improve system scalability, maintainability, performance, and reliability across existing platforms.<br>• Partner with managers, end users, and IT colleagues to translate operational needs into effective technical solutions.<br>• Maintain and extend large, established codebases while reducing technical debt and improving application stability.<br>• Build and support integrations with databases, APIs, and external services to ensure smooth data flow across systems.<br>• Analyze workflows and recommend software enhancements that increase efficiency, accuracy, and employee productivity.<br>• Troubleshoot application, database, and infrastructure issues in a Linux environment and resolve problems with minimal disruption.<br>• Evaluate and implement appropriate technologies, including automation and AI-assisted tools, when they provide measurable business value.<br>• Provide project planning input, technical guidance, and user support to help ensure successful delivery and adoption of solutions.
<p>We are seeking a Software Developer with experience in 3D application development to help design, build, and enhance interactive solutions. The ideal candidate will have hands-on experience with game engine technologies, 3D modeling workflows, and C++ development. This role will collaborate with cross-functional teams to create high-quality, real-time applications using Unreal Engine and Unity. This is an onsite position in Jacksonville, FL.</p><p><br></p><p>Responsibilities</p><ul><li>Develop and maintain interactive 3D applications, simulations, and visualization tools.</li><li>Design, implement, and optimize software solutions using C++ and related technologies.</li><li>Build and enhance applications within Unreal Engine and Unity environments.</li><li>Integrate 3D assets, models, animations, and visual effects into production applications.</li><li>Collaborate with designers, artists, and stakeholders to translate requirements into technical solutions.</li><li>Troubleshoot, debug, and optimize performance for real-time applications.</li><li>Participate in code reviews and contribute to software design discussions.</li><li>Create and maintain technical documentation for applications and development processes.</li><li>Support testing, deployment, and ongoing maintenance activities.</li></ul><p><br></p>
<p>We are looking for a <strong>Software Developer</strong> to join a client's team on a <strong>Contract</strong> basis. This opportunity is <strong>part time </strong>and <strong>fully remote</strong>. This role is ideal for a detail-oriented individual who can translate business needs into scalable planning solutions while supporting connected enterprise applications. The position focuses on building, enhancing, and maintaining Anaplan capabilities in partnership with technical and business stakeholders.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design, build, and refine models and modules that support planning, forecasting, and reporting needs.</p><p>• Partner with stakeholders to gather business requirements and convert them into practical technical solutions and documented specifications.</p><p>• Develop and support integrations and APIs that connect with enterprise platforms and related business systems.</p><p>• Create and maintain client-side scripting components and automation that improve usability and streamline application behavior.</p><p>• Manage configuration changes across environments, ensuring stability, traceability, and alignment with release standards.</p><p>• Collaborate with cross-functional teams, including Salesforce-focused developers and business users, to deliver reliable end-to-end solutions.</p><p>• Troubleshoot model, data, and integration issues, then implement fixes that improve performance and system reliabilit</p>
<p>Integration Engineer</p><p><strong>Location:</strong> Bethesda, MD (Hybrid)</p><p>Overview</p><p>Seeking an experienced Integration Engineer to design, build, deploy, and support enterprise integrations, APIs, connectors, workflows, and MCP servers/tools. This hands-on role owns integrations throughout their lifecycle and helps shape architecture, integration standards, and engineering best practices.</p><p>Works within Integration Engineering alongside Application Engineering and Quality Engineering, supporting Azure Integration Services (AIS), Celigo, and other integration platforms.</p><p>Key Responsibilities</p><ul><li>Design, build, support, and troubleshoot integrations using <strong>Logic Apps, Azure Functions, Service Bus, Event Grid, and Celigo</strong>.</li><li>Develop APIs, webhooks, connectors, adapters, data mappings, transformations, validation, synchronization, and integration workflows.</li><li>Build and support <strong>MCP servers and AI integrations</strong>, including schemas, tool definitions, security controls, permissions, auditing, and protocol compatibility.</li><li>Develop solutions using <strong>C#/.NET, Python, JavaScript/TypeScript</strong>.</li><li>Define API standards including OpenAPI, versioning, authentication, authorization, pagination, rate limiting, and error handling.</li><li>Partner with architecture leadership to improve scalability, reliability, maintainability, security, performance, and cost optimization.</li><li>Create reusable frameworks, templates, connectors, standards, and integration patterns.</li><li>Implement security controls including least-privilege access, encryption, managed identities, credential management, and secure data handling.</li><li>Build monitoring, alerting, logging, retries, reconciliation, recovery, and production support processes.</li><li>Support automated testing, CI/CD, release management, source control, and infrastructure as code.</li><li>Collaborate with application, data, AI, business, and vendor teams while maintaining integration documentation and ownership.</li></ul><p>Preferred Qualifications</p><ul><li>Azure API Management, Key Vault, Application Insights, Log Analytics, deployment automation, and private connectivity.</li><li>Integrations involving ERP, CRM, SaaS, financial, and legacy systems (NetSuite, DealCloud, Appian, etc.).</li><li>Experience modernizing point-to-point integrations and building reusable frameworks.</li><li>Financial services or regulated industry experience.</li><li>Azure and/or Celigo certifications.</li></ul><p>Success Metrics</p><ul><li>Reliable integrations with accurate data and strong production performance.</li><li>Reusable APIs, connectors, event flows, and MCP tools.</li><li>Improved platform architecture driven by implementation feedback.</li><li>Fast issue detection, controlled recovery, and continuous improvement.</li><li>Documented, versioned, and well-supported integrations across AIS, Celigo, and other platforms.</li></ul><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>DevOps Engineer</strong> <strong>(contract).</strong> In this role, you will focus on building scalable Kubernetes environments, improving CI/CD processes, strengthening cloud security, and enabling production-ready machine learning operations (MLOps). <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, deploy, and maintain cloud infrastructure using Infrastructure-as-Code (IaC) frameworks and automation best practices.</li><li>Build, manage, and optimize Kubernetes environments, ensuring reliability, scalability, security, and operational efficiency.</li><li>Develop and maintain deployment pipelines supporting both application and machine learning workloads.</li><li>Collaborate with engineering and data teams to operationalize ML models and AI-driven services in production environments.</li><li>Implement and enhance CI/CD pipelines, release automation, and deployment standards across multiple environments.</li><li>Establish platform standards, reusable tooling, and engineering best practices to improve consistency and operational maturity.</li><li>Integrate security controls, automated testing, dependency validation, and policy enforcement into delivery pipelines.</li><li>Improve observability through centralized logging, monitoring, tracing, alerting, dashboards, and operational runbooks.</li><li>Partner with cross-functional teams to increase application reliability, performance, resiliency, and recovery capabilities.</li><li>Support modern software delivery practices, including automated quality controls, secure release management, and developer enablement initiatives.</li><li>Create self-service tooling, templates, automation frameworks, and documentation that improve the overall developer experience.</li><li>Participate in incident response, root cause analysis, and continuous improvement efforts.</li><li>Drive automation initiatives that reduce manual effort and increase operational reliability.</li><li>Work closely with infrastructure, security, engineering, and data teams to support enterprise-scale cloud platforms and services.</li></ul>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
<p>We are seeking a full time highly skilled .NET, VB.net, C#, MS SQL Developer to support our desktop application development initiatives. The successful candidate will design, code, and test application software using .NET as the front-end development tool and SQL Server as the back-end database. This role will also provide technical support for custom development, database programming, performance monitoring, and knowledge transfer in core development technologies.</p><p><br></p><p><strong>Job Requirements:</strong></p><p><br></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent work experience.</li><li>7+ years of professional experience in application development using .NET technologies.</li><li>Strong programming skills in VB.net, ASP.NET (C#), HTML, CSS, XML, and Visual Studio .NET.</li><li>Proficiency with MS SQL Server database development, including stored procedures, triggers, indexing, and performance optimization.</li><li>Experience with API development and integration.</li><li>Familiarity with Crystal Reports and Power BI is a plus.</li><li>Familiarity with AI tools (ChatGPT, Claude) and proficiency in using GitHub for visual studio.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills with the ability to work independently and as part of a team.</li></ul>
We are looking for an experienced AI Development specialist to contribute to healthcare-focused software initiatives in Wisconsin. This long-term contract opportunity is ideal for an experienced engineer who can lead technical work independently, from solution design through production deployment, while building reliable systems for regulated environments. The role blends modern AI capabilities with backend and API engineering, with a strong emphasis on secure cloud delivery and healthcare data interoperability.<br><br>Responsibilities:<br>• Design, develop, and launch production-grade applications and services that support healthcare technology use cases.<br>• Build and maintain secure cloud-based solutions using AWS, with attention to infrastructure reliability, access controls, and compliance expectations.<br>• Create and evolve external-facing APIs that enable third-party integrations and dependable data exchange.<br>• Work with healthcare interoperability standards such as HL7 and EDI to support clinical and operational data workflows.<br>• Apply strong ownership across the full software lifecycle, including architecture decisions, implementation, testing, deployment, and operational support.<br>• Develop AI-enabled features and integrations using tools such as Claude and OpenAI where they add measurable value to product capabilities.<br>• Implement infrastructure as code practices with tools such as AWS CDK or Terraform to standardize and automate deployment processes.<br>• Collaborate on backend and web application development using modern TypeScript-based frameworks and data platforms.<br>• Support regulated data handling practices in HIPAA-governed environments, including secure storage, encryption, and audit-minded engineering.<br>• Contribute to ongoing evaluation and implementation of database and platform enhancements, including audit, vector, and replication-related capabilities when needed.
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners.<br><br>Responsibilities:<br>• Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability.<br>• Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments.<br>• Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases.<br>• Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks.<br>• Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs.<br>• Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance.<br>• Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities.<br>• Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility.<br>• Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
<p><strong>Python Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Python Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
<p>We’re seeking an Automation Developer to design, build, and optimize automation solutions that drive operational efficiency and improve business outcomes. This role focuses on developing secure, scalable applications and workflows using Microsoft Power Platform, RPA technologies, API integrations, and emerging AI capabilities. You'll collaborate closely with both technical teams and business stakeholders to deliver reliable, well-governed solutions that support organizational goals.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and enhance automation workflows and business applications using Microsoft Power Platform, RPA tools, and related technologies.</li><li>Integrate APIs, AI services, and other modern technologies to improve process efficiency and user experience.</li><li>Implement secure solutions that protect data, credentials, and system interactions while meeting compliance and governance standards.</li><li>Follow established development practices for solution design, testing, deployment, documentation, and ongoing support.</li><li>Partner with IT teams and business stakeholders to gather requirements and translate business challenges into technical solutions.</li><li>Create technical designs, development plans, and implementation approaches for approved initiatives.</li><li>Lead and support testing activities, including user acceptance testing, to ensure solutions perform as expected.</li><li>Monitor production environments, troubleshoot issues, and resolve automation failures to maintain system reliability and performance.</li><li>Maintain documentation, approvals, and audit-ready records to support change management, compliance, and software development lifecycle requirements.</li></ul><p><br></p>
<p>We are looking for a Remote Full Stack .NET Developer to join a company in based in Ankeny, Iowa. This role is suited to a self-directed software engineer who can build and support modern application features with minimal supervision while collaborating with technical stakeholders as needed. The ideal candidate brings strong experience across the Microsoft development stack and can contribute thoughtful, well-documented solutions that align with established engineering standards.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and enhance full stack applications using C#, .NET, ASP.NET, and related Microsoft technologies.</p><p>• Develop backend services and web components with a focus on maintainable architecture, performance, and reliability.</p><p>• Create data access layers and business logic using Entity Framework and established development best practices.</p><p>• Produce clear technical documentation to support code quality, future enhancements, and team knowledge sharing.</p><p>• Work independently to plan, implement, test, and troubleshoot features while keeping work aligned with project expectations.</p><p>• Apply sound software design principles and architectural patterns when developing new functionality from the ground up.</p><p>• Follow defined engineering procedures, coding standards, and team protocols throughout the development lifecycle.</p><p>• Provide informed technical input and practical recommendations to leadership on implementation approaches and solution options.</p>
<p>We are looking for an Automation Engineer to help advance workflow efficiency and the design and deployment of applications for a healthcare organization. This role partners with operational, clinical, financial, and technical teams to turn business needs into practical automation solutions that improve accuracy, reduce manual effort, and support scalable operations. The position is ideal for someone who enjoys building resilient tools, integrating complex systems, and contributing to a collaborative engineering environment.</p>
<p>IMMEDIATE HIRE!! MID LEVEL JAVA DEVELOPER - MULTIPLE HIRES - Full Stack Developer (Direct Hire) – 100% REMOTE if you live in IOWA,IOWA ONLYI - BUT YOU MUST BE WILLING TO DRIVE TO THE DES MOINES OFFICE FREQUENTLY!!! </p><p><strong>NO SPONSORSHIP: EAD, Green Card, or US Citizen ONLY. NO C2C, No H1-B visa, and NO F1 / OPT considered. </strong></p><p><strong>***Please contact CARRIE DANGER directly for immediate consideration. ** My direct email address is on my LinkedIN Profile. MID LEVEL. Java Developer position with one of our clients in Des Moines Iowa up to 125K.***</strong></p><p>WHAT YOU WILL NEED FOR THIS MID LEVEL DEVELOPER:</p><p>* MINIMUM 3+ years of Java development</p><p>*Eye for DESIGN and front end web page development with UI / UX Development </p><p>* ACCESSIBILITY background / ACCESSIBILITY WEB DEVELOPMENT experience for externally facing web applications and web sites </p><p>* Searching for a Mid level developer, Not a Senior Developer. IDEALLY 5-8 YEARS OF EXPERIENCE. </p><p>• Experience with a Front-End Language such as: JavaScript; Angular, or React experience is a plus!</p><p>• Spring Boot experience, Microservices experience. </p><p>• WEB development.</p><p>• 2 year or 4 year degree is Preferred (Prefer Computer Science or similar)</p><p>Join a high performing TECHY team who has a passion for learning and continuous improvement, working in an advanced Agile environment! STRONG financial company who is still hiring. Work in a fun team who promotes training and team training events and will send you off to training as well for Java and development! Looking for candidates who have a passion for development and wants to get better and improve, where you can have a long career on an awesome team! </p><p>This company actually has a training budget and works to keep their Developers up to date technically. They allow training time during the work week and invest in their developers. </p><p>This is a Permanent Direct Hire MID LEVEL. Java Developer position with one of our clients in the Des Moines area up to 120K depending on years of experience.</p><p>For immediate and confidential consideration on this Direct Hire Full Stack Java Developer / Web Developer opportunity, it is best to contact me directly, CARRIE DANGER, SVP Permanent Placement Team, Iowa Region at My Direct Office #: 515-259-6087 or Cell: 515-991-0863, and e-mail resume CONFIDENTIALLY & directly to me - my email address / contact Information on my LinkedIN profile. Or you can ONE CLICK APPLY on our website Robert Half and apply Specifically to this posting.</p>
<p>Robert Half Technology is seeking <strong>experienced Senior Data Engineers</strong> to support a client in the insurance industry. These individuals will play a key role in designing, developing, and maintaining scalable data pipelines, integrating data across multiple systems, and supporting cloud-based data engineering initiatives.</p><p> </p><p>The ideal candidates will have strong hands-on experience with Microsoft SQL Server, Python, cloud technologies, and modern data engineering practices. This role requires individuals who can independently develop and optimize data solutions, manage complex data integrations, and support both inbound and outbound data flows.</p><p><strong> </strong></p><p><strong>Location:</strong> 100% Remote</p><p><strong>Duration:</strong> 6-month contract-to-hire</p><p><strong>Pay rate: </strong>$45-$55/hourly</p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data integration solutions to support business and operational needs.</li><li>Develop, optimize, and maintain SQL queries, stored procedures, and database processes within Microsoft SQL Server.</li><li>Build and manage ETL/ELT processes to extract, transform, and load data across multiple platforms and systems.</li><li>Utilize Python and Pandas for data transformation, processing, automation, and analysis.</li><li>Develop and maintain cloud-based data solutions using AWS services, including Lambda, Glue, and EC2, or comparable Azure technologies.</li><li>Design and support API integrations, event-driven architectures, and event bus technologies to facilitate inbound and outbound data exchanges.</li><li>Work with Snowflake and other data platforms to support data ingestion, transformation, and integration.</li><li>Implement and maintain CI/CD pipelines to support automated deployments and data engineering best practices.</li><li>Troubleshoot data pipeline issues, optimize performance, and ensure data accuracy, reliability, and consistency.</li><li>Collaborate with cross-functional teams, including software engineers, architects, analysts, and business stakeholders, to deliver scalable data solutions.</li><li>Support data governance, data quality, and integration best practices across enterprise systems.</li></ul>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are looking for an IT Field Technician to support device rollout across multiple locations in the Greater Philadelphia Region. This role focuses on preparing, configuring, and distributing a range of hardware while helping maintain a smooth deployment experience across the organization. The ideal candidate is comfortable working with multiple operating environments, providing clear progress updates, and resolving technical issues tied to network devices and PCs. </p><p>Responsibilities:</p><p>• Configure, stage, and deploy security systems, network devices and laptops</p><p>• Perform device imaging, software installation, and account setup to ensure equipment is ready for immediate business use.</p><p>• Coordinate with internal teams to manage user provisioning and access through Active Directory.</p><p>• Install and validate required business and medical software on assigned devices, confirming proper functionality before release.</p><p>• Track deployment progress and communicate timely status updates to stakeholders, team members, and project leads.</p><p>• Use established deployment tools to streamline setup, configuration, and asset readiness processes.</p><p>• Document deployment activities, issue resolutions, and inventory details to maintain accurate project records.</p>
We are looking for an experienced ServiceNow Platform Engineer to support and strengthen enterprise platform operations in Texas. This role focuses on improving stability, scalability, and overall system performance while partnering with architecture, cybersecurity, infrastructure, and support teams. The ideal candidate brings strong engineering judgment, hands-on platform expertise, and a continuous improvement mindset to deliver reliable, high-performing ServiceNow solutions.<br><br>Responsibilities:<br>• Monitor platform behavior, investigate recurring issues, and implement corrective actions that improve availability, efficiency, and long-term reliability.<br>• Define operational standards, establish service health metrics, and use capacity insights to guide performance planning and infrastructure optimization.<br>• Work closely with architecture, cybersecurity, infrastructure, and other technical teams to ensure the ServiceNow environment aligns with enterprise expectations and technical standards.<br>• Lead complex incident investigation and advanced troubleshooting efforts, including escalated platform issues, while coordinating with vendor support when deeper technical resolution is required.<br>• Improve support procedures, technical documentation, and recovery practices to reduce downtime and strengthen operational readiness.<br>• Direct platform upgrades, release coordination, backup planning, and recovery testing to maintain service continuity and support new feature adoption.<br>• Review utilization and performance trends, prepare actionable findings, and drive enhancements that improve system health over time.<br>• Assess emerging ServiceNow capabilities and oversee the design and configuration of scalable, resilient solutions that follow established engineering best practices.<br>• Build and maintain knowledge resources such as troubleshooting materials, configuration guidance, and technical standards while mentoring entry-level engineers and encouraging cross-team learning.
<p>We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.</p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Site Reliability Engineer (contract).</strong> In this role, you are responsible for the reliability, scalability, and operational excellence of enterprise workflow orchestration and automation platforms. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>Operations & Reliability (Approximately 50%)</p><ul><li>Act as a primary escalation point for workflow orchestration and enterprise scheduling platforms, supporting incident response, root cause analysis, and long-term resolution efforts.</li><li>Establish, manage, and continuously improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.</li><li>Monitor platform performance, health, and capacity while proactively identifying potential issues before they impact business operations.</li><li>Partner with application, data, and engineering teams to troubleshoot workflow failures, dependency issues, and scheduling challenges.</li><li>Perform platform maintenance activities, including upgrades, patching, and configuration management.</li><li>Collaborate with security teams to strengthen platform security, address vulnerabilities, and maintain compliance standards.</li><li>Participate in on-call rotations and maintain operational documentation, runbooks, and escalation procedures.</li></ul><p>Platform Engineering (Approximately 50%)</p><ul><li>Design and implement tooling, automation, and self-service capabilities that improve platform usability and reduce operational effort.</li><li>Lead or contribute to modernization initiatives, including workload migrations, deployment automation, infrastructure optimization, and adoption of cloud-native services.</li><li>Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Helm, Ansible, or similar technologies.</li><li>Create and enhance observability capabilities through dashboards, alerting, logging, and monitoring solutions.</li><li>Establish platform standards, governance models, and best practices to support adoption across engineering teams.</li><li>Participate in architectural reviews and contribute to the long-term platform strategy and roadmap.</li><li>Promote automation-first practices that improve reliability, consistency, and operational efficiency.</li></ul><p><br></p>
<p>Robert Half is partnering with a company in Wisconsin to help them hire an experienced Software Support Engineer. In this role you're responsible for supporting, maintaining, and improving the company's business and technical software applications. This role focuses on application administration, troubleshooting, user support, and developing tools and integrations that improve system functionality and reduce manual processes.</p><p><br></p><p>The position will support a variety of applications, including CAD/PDM software, ERP systems, and internal business applications. Working with IT, internal users, software vendors, and the MRP/ERP Solutions Consultant, this person will help resolve application issues, maintain system integrations, improve data accuracy, and identify opportunities to make software and business processes more efficient.</p><p><br></p><p>Principal Responsibilities</p><ul><li>Administer and support company software applications, including user access, licensing, system settings, upgrades, troubleshooting, and software deployments.</li><li>Serve as a primary point of contact for application-related questions and technical support, helping users resolve issues and get the most out of available software.</li><li>Develop and maintain utilities, scripts, and integrations that connect business applications, databases, and internal systems using C#/.NET, VB.NET, or other supported programming languages.</li><li>Identify opportunities to automate repetitive tasks, improve workflows, reduce manual data entry, and increase system efficiency.</li><li>Use SQL to retrieve, compare, and validate data across systems, helping identify discrepancies and maintain data accuracy.</li><li>Support and improve existing integrations between company applications and the ERP system, working with the MRP/ERP Solutions Consultant to investigate transfer failures and resolve data issues.</li><li>Maintain and improve existing VBA/VB.NET scripts and other custom-developed tools.</li><li>Coordinate software installations, licensing, upgrades, and application deployments with IT and relevant software vendors.</li><li>Test application updates, integrations, and custom utilities before deployment. Maintain appropriate documentation, source control, error handling, and recovery procedures.</li><li>Provide user training and develop practical documentation and guides to help employees use company applications effectively.</li><li>Work with IT on infrastructure, security, user access, backups, and application deployments.</li><li>Collaborate with departments across the company to understand software issues, prioritize improvements, and implement practical solutions.</li><li>Perform other related duties as assigned.</li></ul><p><br></p>