We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment.<br><br>Responsibilities:<br>• Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability.<br>• Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures.<br>• Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments.<br>• Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability.<br>• Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services.<br>• Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments.<br>• Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers.<br>• Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes.<br>• Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions.<br>• Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
We are looking for a Software Engineer to join a team in Sinton, Texas and build reliable, scalable applications that support business operations. This role involves creating and improving both front-end and back-end solutions, partnering with users to translate needs into effective technical outcomes, and maintaining high standards for code quality and security. The ideal candidate brings strong problem-solving ability, solid experience with modern development tools, and a proactive approach to delivering well-documented, dependable software.<br><br>Responsibilities:<br>• Build, enhance, and support software applications and related services using contemporary development technologies such as C#, .NET, Python, and web-based frameworks.<br>• Investigate application issues, diagnose root causes, and implement fixes that improve stability, functionality, and performance.<br>• Produce clear technical documentation covering system behavior, design decisions, and implementation details to support maintainability.<br>• Apply secure development methods and align coding practices with established organizational standards and quality expectations.<br>• Manage assigned tasks independently, track commitments responsibly, and deliver work within agreed timelines.<br>• Collaborate with business users to gather, clarify, and translate functional needs into practical software solutions.<br>• Create and optimize SQL components, including queries, views, stored procedures, and triggers, with an emphasis on efficiency and appropriate design.<br>• Contribute to integrations and connected systems through APIs, webhooks, and other modern interface methods.<br>• Strengthen technical capabilities through ongoing learning and by staying current with evolving tools, practices, and engineering approaches.
We are looking for an IT Engineer to support and enhance enterprise infrastructure across San Antonio, Texas. This role focuses on maintaining reliable systems, strengthening identity and network services, and contributing technical expertise to infrastructure and security initiatives. The ideal candidate brings hands-on experience across Microsoft platforms, cloud services, virtualization, backup technologies, and enterprise networking environments.<br><br>Responsibilities:<br>• Oversee the health, upkeep, and rollout of core infrastructure components, including servers, network hardware, and related enterprise systems.<br>• Manage Microsoft identity and access platforms by administering, deploying, and resolving issues across Active Directory, Entra ID, and associated services.<br>• Implement and support infrastructure solutions across cloud, on-premises, and endpoint environments while ensuring stable day-to-day operations.<br>• Partner with security team members to complete infrastructure-related security work and help maintain a resilient technical environment.<br>• Collaborate with internal and external solution delivery teams when advanced infrastructure expertise is needed for project execution.<br>• Advise infrastructure leadership on emerging tools, operational improvements, and technical opportunities that can benefit the business.<br>• Coordinate with IT business stakeholders to clarify expectations and communicate changes that may affect users or operations.<br>• Serve as a senior escalation resource for complex incidents and technical problems that require advanced troubleshooting beyond the service desk.<br>• Support network and operational technology environments, including work involving enterprise switching, wireless platforms, firewalls, and industrial systems where applicable.
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
We are looking for a Manager/Director level candidate to join a contract-to-permanent role based in San Antonio, Texas, to help support initiatives around Data Analytics and AI. In this role, you will partner with stakeholders across multiple business functions to uncover opportunities, shape technology-driven solutions, and guide analytics initiatives that improve decision-making. This position will play a key role in leading business intelligence efforts, with a strong focus on Power BI, data strategy, and modern cloud-enabled architectures. <br> Responsibilities: • Drive cross-functional analysis to identify business challenges, define opportunities for improvement, and recommend practical technology solutions aligned with organizational goals. • Lead the design and advancement of analytics and business intelligence capabilities, including oversight of Power BI reporting environments and semantic or tabular data models. • Collaborate with technical teams and business leaders to translate operational needs into scalable data, reporting, and application requirements. • Provide leadership across the software development lifecycle, supporting planning, solution design, delivery, testing, and ongoing enhancement activities. • Architect and integrate both on-premises and cloud-based platforms to support reporting, data access, and enterprise analytics initiatives. • Guide data warehousing strategies and SQL-based data solutions to ensure reliable, high-quality information is available for business users. • Support the implementation of cloud technologies and connected systems, including integration work involving XML and related standards such as XPath. • Mentor and coordinate development resources, helping ensure delivery standards, technical quality, and best practices are consistently followed.
<p>We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul><p><br></p>
<p><strong>CYBERSECURITY ENGINEER</strong></p><p><strong> </strong></p><p><strong>SUMMARY</strong></p><p>An established organization is seeking a Cybersecurity Engineer to strengthen the security posture of enterprise systems and infrastructure. This role will focus on threat detection, vulnerability management, incident response, and security architecture initiatives.</p><p><strong> </strong></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Dallas-Fort Worth, TX (Hybrid)</p><p><strong>SALARY:</strong> $115,000 - $155,000</p><p><strong> </strong></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Implement and maintain security controls across servers, endpoints, cloud environments, and networks.</li><li>Investigate security alerts and support incident response activities.</li><li>Perform vulnerability assessments and coordinate remediation efforts.</li><li>Support security monitoring through SIEM and endpoint detection platforms.</li><li>Assist with security architecture reviews and compliance initiatives.</li></ul>
<p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
<p><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
<p>Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.</p><ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation.<br><br>Responsibilities:<br>• Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback.<br>• Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments.<br>• Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products.<br>• Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation.<br>• Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness.<br>• Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions.<br>• Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness.<br>• Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team.<br>• Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
<p>Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.</p><ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
<p>We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.</p><p>Responsibilities</p><ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms.</p><p>• Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness.</p><p>• Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption.</p><p>• Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs.</p><p>• Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements.</p><p>• Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity.</p><p>• Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs.</p>
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
<p>We are looking for an experienced Data Engineer to jcreate and enhance dependable data platforms that support HR and enterprise analytics, partnering closely with analysts, engineering leads, and business stakeholders on site. The position focuses on building scalable pipelines, strengthening data quality, and enabling trusted insights that improve operational decision-making across the organization.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines that integrate information from files, APIs, databases, replicated sources, and streaming inputs.</p><p>• Build and support modern data environments across warehouses, data lakes, and lakehouse architectures to meet analytics and reporting needs.</p><p>• Partner with business analysts, HR stakeholders, and technical team members to translate data requirements into reliable engineering solutions.</p><p>• Improve data quality, lineage, and governance by applying metadata-driven practices and implementing controls that increase trust in enterprise datasets.</p><p>• Lead end-to-end delivery of data engineering initiatives, from solution design and development through testing, deployment, and operational support.</p><p>• Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and timely delivery of critical datasets.</p><p>• Apply DevOps practices such as version control, automated testing, and CI/CD processes to increase deployment quality and team collaboration.</p><p>• Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and support scalable distributed workloads.</p><p>• Implement data protection measures, including masking, encryption, anonymization, and role-aware access design, especially for sensitive workforce information.</p><p>• Support curated analytical datasets and reporting solutions by collaborating with downstream users on trusted models and enterprise data products.</p>
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs.<br><br>Responsibilities:<br>• Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls.<br>• Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment.<br>• Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model.<br>• Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options.<br>• Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control.<br>• Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations.<br>• Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
<p>Robert Half is seeking an <strong>Enterprise Data Modeler</strong> to support a major enterprise data initiative for a professional services organization based in Seattle, WA. This consultant will help develop a governed semantic data layer using Denodo, creating consistent business definitions and trusted data models to support reporting, analytics, and AI-assisted data access.</p><p><br></p><p><strong>Duration: </strong>6 months contract to hire </p><p><strong>Location: </strong>100% remote </p><p><strong>Schedule: </strong>Monday - Friday - CST hours </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and maintain conceptual, logical, and semantic data models that establish consistent business definitions and relationships across enterprise data.</li><li>Build and support Denodo base, derived, interface, and semantic views for reporting, analytics, and AI applications.</li><li>Apply enterprise data modeling standards for naming conventions, keys, relationships, reusable entities, and certified reporting views.</li><li>Reconcile conflicting data definitions, identifiers, and business rules across multiple source systems.</li><li>Define and maintain Denodo metadata, associations, descriptions, and business terminology to support reporting tools and AI-assisted querying.</li><li>Collaborate with data governance and security teams to support data classification, lineage, privacy, and access controls.</li><li>Align data models with master data management (MDM) standards, business glossaries, and data catalog tools such as Collibra.</li><li>Support AI and MCP-based use cases by defining business terminology, synonyms, sample questions, and testing criteria for data query accuracy.</li><li>Maintain documentation, including data dictionaries, entity catalogs, source-to-target mappings, lineage, and modeling standards.</li></ul>
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
<p>We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.</p><p>• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.</p><p>• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.</p><p>• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.</p><p>• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.</p><p>• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.</p><p>• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.</p><p>• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.</p><p>• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.</p>
<p>Robert Half is seeking an experienced <strong>Data Visualization Engineer with strong Denodo expertise</strong> to support a<strong> </strong>law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful visualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly.<br><br>Responsibilities:<br>• Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms.<br>• Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities.<br>• Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems.<br>• Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms.<br>• Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs.<br>• Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts.<br>• Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion.<br>• Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage.<br>• Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
<p>We are looking for a Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. This role will support enterprise reporting, analytics, and machine learning initiatives by ensuring the availability and integrity of critical business data.</p><p>Responsibilities</p><ul><li>Design and develop ETL/ELT data pipelines</li><li>Build and maintain Azure data platforms and data lakes</li><li>Integrate data from APIs, databases, and third-party systems</li><li>Develop data models supporting analytics and reporting</li><li>Optimize database and pipeline performance</li><li>Implement data quality and monitoring solutions</li><li>Collaborate with analysts, developers, and business users</li></ul><p><br></p>