We are looking for a Platform Engineer to advance the reliability, security, and scalability of our engineering platform in Kalamazoo, Michigan. This position focuses on building a consistent developer experience by strengthening automation, deployment practices, infrastructure standards, and operational visibility. The ideal candidate will shape platform capabilities with a product mindset, enabling internal teams to deliver software more safely and efficiently while supporting enterprise growth and modern AI-enabled services.<br><br>Responsibilities:<br>• Define and evolve a platform strategy that improves consistency, resilience, and ease of use for internal engineering teams.<br>• Build and maintain CI/CD frameworks that support dependable delivery, stronger release controls, and reduced operational risk.<br>• Create and manage infrastructure as code solutions, including reusable Terraform components that promote standardization across environments.<br>• Embed security into platform workflows through automated guardrails such as secrets management, policy enforcement, encryption controls, and secure configuration practices.<br>• Develop release automation and progressive delivery approaches that improve deployment safety and accelerate recovery when issues arise.<br>• Establish observability capabilities across distributed services to enhance monitoring, troubleshooting, and service performance insights.<br>• Partner with engineering leaders, developers, and external vendors to implement platform standards and communicate technical tradeoffs clearly.<br>• Improve cloud operations by strengthening identity and access controls, governance practices, and runtime visibility across AWS-based environments.
We are looking for a Sr. Software Engineer to contribute to the design and delivery of scalable backend and platform solutions supporting modern cloud-based applications. This Long-term Contract position offers the opportunity to work with cross-functional engineering teams in Chicago, Illinois while building services, APIs, and foundational infrastructure in a collaborative environment. The ideal candidate brings strong software development expertise, enjoys shaping solutions in newly established environments, and can help turn technical concepts into reliable implementations.<br><br>Responsibilities:<br>• Develop and maintain backend applications, platform components, and service integrations using technologies such as C#, .NET, Python, Node.js, and related tools.<br>• Design and implement secure, scalable APIs and distributed services aligned with cloud-native and microservices-based architecture principles.<br>• Build application and infrastructure solutions from the ground up, supporting greenfield initiatives through planning, development, deployment, and optimization.<br>• Automate provisioning and release processes by applying Infrastructure as Code practices to cloud environments and platform services.<br>• Collaborate with architects, engineering leads, and peer developers to translate technical strategies into well-structured, production-ready solutions.<br>• Support the setup and improvement of cloud infrastructure, backend systems, and platform capabilities to ensure performance, reliability, and maintainability.<br>• Contribute to technical discussions, code reviews, and engineering best practices that promote high-quality delivery across the development lifecycle.<br>• Explore and incorporate emerging tools and frameworks, including AI-enabled development technologies when relevant to project goals.
We are looking for an experienced Sr. Software Engineer to join our team and drive the design, development, and evolution of enterprise software solutions. This role is ideal for a highly technical engineer who pairs strong full-stack expertise with a modern, AI-enabled approach to software delivery. You will play a key role in building scalable applications, improving engineering practices, and partnering across teams to deliver secure, reliable, and business-focused technology.<br><br>Responsibilities:<br>• Create and enhance software features that support critical business needs, with a focus on performance, reliability, and long-term maintainability.<br>• Design technical solutions for new components, services, and platform capabilities across distributed application environments.<br>• Lead by example through thoughtful code reviews, sound engineering decisions, and hands-on contribution throughout the development lifecycle.<br>• Use AI-assisted tools to strengthen solution design, accelerate development, improve debugging, and raise overall team productivity.<br>• Develop and maintain automated tests while promoting quality standards that reduce defects and support stable releases.<br>• Investigate production issues and application defects across front-end, back-end, database, and infrastructure layers, then implement effective resolutions.<br>• Apply secure development practices and support the delivery of applications that meet enterprise security expectations.<br>• Collaborate with product and technical stakeholders to understand user needs, align solutions with business goals, and improve product outcomes.<br>• Contribute to deployment, monitoring, source control, and continuous delivery practices that support efficient and dependable software releases.<br>• Identify opportunities to refine tools, workflows, and engineering standards, and help the broader team adopt improved ways of working.
We are looking for a Principal Software Engineer to join our team in Edison, New Jersey. In this role, you will be responsible for shaping the technical direction of our connected equipment platform while delivering high-quality software solutions. This Contract to permanent position offers the opportunity to lead impactful projects, collaborate with cross-functional teams, and contribute to the modernization of our systems. If you're passionate about scalable systems, enjoy mentoring others, and thrive in a fast-paced environment, this could be the perfect opportunity for you.<br><br>Responsibilities:<br>• Provide technical leadership and mentorship to software engineers, fostering collaboration and a culture of excellence.<br>• Develop and implement innovative solutions for complex engineering challenges to enhance system performance.<br>• Build robust mobile, front-end, and back-end software components for our connected equipment platform.<br>• Write clean, efficient, and scalable code, ensuring reliability and optimal performance.<br>• Drive the transition from monolithic systems to scalable microservices architectures, modernizing the platform.<br>• Lead efforts in system architecture design, database development, and strategic technical decisions.<br>• Collaborate with Product Managers to define and prioritize features, ensuring alignment with business goals.<br>• Work closely with senior leadership to address critical business needs through technology.<br>• Partner with QA engineers to deliver thoroughly tested and user-focused software solutions.<br>• Stay up-to-date with emerging technologies, recommending tools and frameworks to improve productivity.
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products.<br><br>Responsibilities:<br>• Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools.<br>• Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets.<br>• Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data.<br>• Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns.<br>• Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments.<br>• Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support.<br>• Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments.<br>• Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions.<br>• Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics.<br>• Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases.<br><br>Responsibilities:<br>• Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies.<br>• Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics.<br>• Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts.<br>• Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency.<br>• Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery.<br>• Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices.<br>• Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation.<br>• Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration.<br>• Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals.<br>• Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.<br>• Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions.<br>• Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.<br>• Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.<br>• Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently.<br>• Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed.<br>• Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.<br>• Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
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 an experienced Sr. Software Engineer to join our team and play a key role in building reliable, scalable software solutions. This position is ideal for an engineer who combines strong technical leadership with hands-on development across modern web, cloud, and distributed systems. The right candidate brings a thoughtful approach to architecture, embraces AI-enabled development practices, and partners effectively with cross-functional teams to deliver high-quality products.<br><br>Responsibilities:<br>• Design, develop, and support complex software features and platform capabilities that improve product performance, reliability, and scalability.<br>• Define technical approaches for new applications, shared services, and system enhancements while aligning solutions with broader architectural standards.<br>• Contribute hands-on code and provide technical leadership through constructive reviews, mentoring, and engineering best practices.<br>• Strengthen product quality by implementing automated testing strategies and validating software behavior throughout the development lifecycle.<br>• Apply secure development principles to protect applications, data, and integrations across front-end and back-end environments.<br>• Investigate production issues, identify root causes, and deliver timely fixes across application, database, and infrastructure layers.<br>• Use AI-driven tools to accelerate solution design, coding, debugging, testing, and code review while helping the team adopt effective usage patterns.<br>• Collaborate with stakeholders to understand business priorities, user expectations, and functional requirements in order to shape practical technical solutions.<br>• Support software delivery from initial development through deployment, monitoring, and ongoing operational improvement using source control and CI/CD practices.<br>• Recommend and implement improvements to engineering workflows, tools, and development standards that increase team effectiveness and delivery consistency.
<p>We are looking for a Sr. Embedded Software Engineer to help build advanced flight software in Orlando, Florida. In this role, you will create and refine embedded solutions that support imaging payloads, onboard intelligence, and radio communications for space-based systems. You will work closely with cross-functional engineering teams to bring hardware and software together, validate performance, and support mission readiness from development through operations.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and improve embedded software for CubeSat subsystems, including imaging, onboard processing, and communications components.</p><p>• Develop reliable applications and low-level code using C, C++, and Python to support flight and test objectives.</p><p>• Partner with hardware engineers to integrate sensors, processors, and embedded modules into mission-ready systems.</p><p>• Build and optimize onboard image processing and AI-enabled workflows for timely analysis of mission data.</p><p>• Create and verify software that supports radio links, telemetry, command handling, and spacecraft tracking functions.</p><p>• Plan and execute verification activities such as unit testing, simulation, and hardware-in-the-loop validation to confirm system performance.</p><p>• Troubleshoot embedded software behavior in constrained and space-like environments, identifying root causes and implementing fixes.</p><p>• Contribute to ground support tools used for receiving, processing, and reviewing spacecraft data.</p><p>• Produce clear technical documentation and collaborate with electrical, mechanical, and mission engineering teams throughout development.</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>
We are looking for a Senior Software Engineer to create modern software solutions that connect data, systems, and business workflows into effective digital products. This role is based in Chicago, Illinois, and offers the opportunity to work closely with engineers, product leaders, and client stakeholders to deliver dependable, user-centered platforms. The ideal candidate enjoys building new capabilities from the ground up, solving unfamiliar technical challenges, and improving systems through thoughtful engineering practices.<br><br>Responsibilities:<br>• Build and release full-stack software products, including backend services, APIs, user interfaces, dashboards, and data-driven features that support operational decision-making.<br>• Connect external and internal platforms by developing integrations, data flows, and synchronization processes across business and analytical systems.<br>• Create automated workflows that streamline coordination between users, software applications, and operational processes.<br>• Collaborate with product and engineering partners to define technical approaches, strengthen delivery methods, and improve long-term solution quality.<br>• Engage directly with users and client stakeholders to gather requirements, validate concepts, and refine functionality based on practical feedback.<br>• Monitor live applications, troubleshoot issues across the technology stack, and enhance system stability and performance in production environments.<br>• Produce technical documentation, architectural guidance, and transition materials that enable client teams to support and expand delivered solutions.<br>• Establish reusable development patterns, deployment methods, and engineering assets that improve efficiency across future engagements.
<p>We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.</p><p>• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.</p><p>• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.</p><p>• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.</p><p>• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.</p><p>• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.</p><p>• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.</p><p>• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.</p>
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p>We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.</p><p>• Design and implement machine learning models that address business challenges and support data-informed decision-making.</p><p>• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.</p><p>• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.</p><p>• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.</p><p>• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.</p><p>• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.</p><p>• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.</p>
We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs.<br>• Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently.<br>• Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms.<br>• Write production-quality Python code to automate data processing, validation, and orchestration tasks.<br>• Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability.<br>• Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives.<br>• Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.
We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team.<br><br>Responsibilities:<br>• Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy.<br>• Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time.<br>• Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps.<br>• Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives.<br>• Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards.<br>• Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current.<br>• Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions.<br>• Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.
<p>Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development.</p><p><br></p><p>Experience with large unstructured data sets is a must. </p><p><br></p><p>Responsibilities:</p><p>• Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.</p><p>• Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.</p><p>• Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.</p><p>• Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.</p><p>• Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.</p><p>• Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.</p><p>• Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.</p><p>• Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.</p><p>• Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.</p>
We are looking for a Systems Engineer to support advanced automation initiatives for machinery manufacturing operations. This long-term contract position is ideal for a hands-on, detail-oriented engineer who can translate legacy control strategies into modern edge-based solutions while helping define a scalable technical framework for future growth. The role combines field execution, software logic development, and systems architecture to improve performance, reliability, and deployment consistency across large operating environments.<br><br>Responsibilities:<br>• Translate existing control logic into edge-compatible automation code for plunger lift and related systems.<br>• Refine Modbus communications, register mapping, and datapoint organization to improve equipment visibility and operational efficiency.<br>• Build standardized logic packages, configuration methods, and deployment approaches that can be repeated across high-volume installations.<br>• Program, configure, test, and commission RTUs and edge devices to ensure dependable field performance.<br>• Verify proper operation of sensors, alarms, communications, and control sequences during startup and ongoing system validation.<br>• Investigate and resolve integration problems involving control hardware, edge platforms, and connected field equipment.<br>• Define structured data flows that move operational information from RTUs through Modbus into downstream software applications.<br>• Produce technical standards, commissioning documentation, and best-practice guides that support large-scale rollouts.<br>• Provide engineering input on platform design, scalability, and long-range automation strategy across multi-site deployments.
<p><strong>** <u>Qualified candidates must have Technical Lead experience along with solid people management skills and experience managing teams overseas</u> **</strong></p><p> </p><p>We are seeking an experienced Application Development Team Lead to oversee and grow a global Adobe Commerce (Magento) development organization. This hands-on leadership role is responsible for the technical direction, delivery, scalability, and overall health of a high-volume eCommerce platform supporting critical business operations and significant online revenue.</p><p> </p><p>The ideal candidate combines strong Magento development expertise with proven leadership experience, including managing globally distributed teams, driving technical strategy, and partnering with business stakeholders to align technology initiatives with organizational objectives.</p><p><strong> </strong></p><p><strong><u>Responsibilities</u></strong></p><p><strong> </strong></p><p><strong>Team Leadership</strong></p><ul><li>Lead, mentor, and develop a distributed team of Business Analysts, Adobe Commerce developers, QA professionals, and technical contributors across multiple regions.</li><li>Conduct performance reviews, career development planning, capacity management, and regular one-on-one meetings.</li><li>Promote a culture of accountability, collaboration, code quality, and continuous improvement.</li><li>Manage team coverage, support rotations, and cross-regional handoffs.</li><li>Partner with recruiting and HR to hire, onboard, and retain top technical talent.</li></ul><p><strong>Technical Leadership</strong></p><ul><li>Own the architecture, scalability, security, and reliability of the Adobe Commerce platform, including custom development, integrations, and storefront enhancements.</li><li>Establish coding standards and best practices for PHP, MySQL, and Magento development.</li><li>Lead technical design reviews, create technical specifications, and evaluate build-versus-buy solutions.</li><li>Drive platform upgrades, security initiatives, performance optimization, and system reliability improvements.</li><li>Troubleshoot complex production issues involving databases, integrations, caching, indexing, and application performance.</li></ul><p><strong>Delivery & Agile Execution</strong></p><ul><li>Lead Agile delivery processes, including sprint planning, backlog refinement, standups, and retrospectives using Jira.</li><li>Collaborate with product and business teams to define requirements, user stories, and project estimates.</li><li>Manage sprint commitments, monitor team velocity, identify risks, and remove delivery obstacles.</li><li>Oversee release management processes, CI/CD pipelines, and deployment best practices.</li></ul><p><strong>Business Partnership</strong></p><ul><li>Serve as the primary technical liaison for cross-functional stakeholders.</li><li>Support eCommerce processes including catalog management, pricing, promotions, checkout, payments, order management, shipping, returns, and tax integrations.</li><li>Align engineering priorities with key business metrics such as conversion rates, performance, uptime, and customer experience.</li></ul><p><strong> </strong></p>
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use.<br>• Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale.<br>• Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources.<br>• Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery.<br>• Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations.<br>• Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes.<br>• Apply sound data management practices to ensure consistency, usability, and governance across data assets.<br>• Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices.<br>• Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
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.
<p>We are looking for an experienced Software Engineer to create and enhance software applications in a dynamic engineering environment in Medina, Minnesota. This role combines hands-on development with technical problem-solving, requiring close collaboration with cross-functional teams to deliver reliable desktop and full-stack solutions. The ideal candidate brings strong software design expertise, communicates clearly with technical and business stakeholders, and can help guide projects from concept through deployment and ongoing support.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate software and data needs to shape practical solutions that align with technical objectives, schedules, and budget expectations.</p><p>• Partner with engineers, data specialists, and other stakeholders to define system behavior, performance goals, and overall application requirements.</p><p>• Design, build, and refine desktop and full-stack software applications that support customer and product needs.</p><p>• Create and maintain testing, validation, and user support documentation to promote successful implementation and knowledge transfer.</p><p>• Lead or coordinate software testing, deployment activities, and on-site commissioning efforts for customer-facing solutions.</p><p>• Provide ongoing support, troubleshooting, and enhancements for existing applications to maintain performance and reliability.</p><p>• Collaborate with operations, engineering, and data teams to address reporting, visualization, and software functionality needs.</p><p>• Present technical ideas, recommendations, and project updates clearly to customers, leadership, and internal teams.</p><p>• Offer technical direction to development efforts and help guide team members through architecture and implementation decisi</p>
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
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.