<p>We are looking for a Software Developer to join a team in San Antonio, Texas on a Contract to Permanent basis. This role is ideal for a full stack developer who brings strong experience with .NET technologies, SQL Server, and modern web interfaces, and who enjoys building reliable applications that support critical business operations. The position offers the opportunity to contribute across the full development lifecycle, from technical planning and coding through testing, documentation, and production support.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and enhance full stack applications with a strong emphasis on .NET-based solutions, SQL Server, and user-facing web interfaces.</p><p>• Investigate complex application issues, identify root causes, and deliver effective fixes to improve system stability and performance.</p><p>• Participate in technical analysis, solution design, and project planning to support successful delivery of assigned initiatives.</p><p>• Build, test, and validate application components to ensure accuracy, functionality, and alignment with business needs.</p><p>• Partner with end users and internal stakeholders to gather requirements, assess system challenges, and recommend practical technical solutions.</p><p>• Provide clear updates to technology leadership and project teams regarding development progress, issue resolution, and implementation status.</p><p>• Support production applications through scheduled validation activities, change control documentation, and on-call coverage for assigned systems.</p><p>• Create and maintain thorough technical documentation, including test evidence, change details, operational procedures, and support materials.</p><p>• Assist in mentoring and supporting information systems staff by sharing knowledge, training users, and contributing as an active member of project teams.</p>
We are looking for a Software Developer to join a finance organization in Denver, Colorado in a contract capacity with the potential to become permanent. This opportunity is suited to an experienced, detail-oriented individual who enjoys creating reliable applications, improving technical workflows with AI-assisted development tools, and contributing across both cloud-based and established systems. The role will involve hands-on engineering, integration work, and collaboration on efforts that strengthen and modernize core business technology.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET technologies, and related development tools to support business needs.<br>• Create and enhance integrations between applications, databases, and other business systems to ensure dependable data flow and functionality.<br>• Troubleshoot application issues, investigate root causes, and implement durable fixes across both modern platforms and legacy environments.<br>• Contribute throughout the full software development lifecycle, including technical design, coding, testing, deployment, and post-release support.<br>• Use SQL Server, ETL processes, and scripting tools such as PowerShell to manage data movement, automation, and operational efficiency.<br>• Partner with cross-functional stakeholders to deliver enhancements that align with business priorities in a regulated financial environment.<br>• Support cloud-focused development initiatives in Azure or similar public cloud environments while helping improve scalability and maintainability.<br>• Apply AI-enabled engineering tools such as Claude, GitHub Copilot, or similar technologies to accelerate development and improve productivity.<br>• Assist with SaaS implementations, data migration activities, and system modernization efforts while maintaining continuity for critical applications.
We are looking for a Software Developer to support a legal organization in Philadelphia, Pennsylvania through a Long-term Contract engagement. This role centers on building and enhancing automated legal documents while partnering with a technology-focused team that improves attorney workflows and client service. The position is best suited for someone who combines strong development skills with sound judgment, independence, and a practical understanding of document-driven processes in a services environment.<br><br>Responsibilities:<br>• Design, build, and maintain automated templates for legal and practice-related documents using document automation platforms and related development tools.<br>• Collaborate with attorneys, business stakeholders, and technology team members to translate document requirements into efficient automated solutions.<br>• Develop and support integrations between document automation tools and complementary legal technology services when needed.<br>• Write, test, and troubleshoot code using technologies such as C#, .NET, ASP.NET, and JavaScript to improve document generation performance and reliability.<br>• Manage updates to automated documents, ensuring accuracy, version control, and alignment with current legal and business requirements.<br>• Work independently with limited oversight while prioritizing assignments and making sound decisions within the scope of the role.<br>• Contribute ideas that improve automation processes, user experience, and operational efficiency across document-focused workflows.<br>• Provide technical support, documentation, and knowledge sharing to help users and team members adopt automation solutions effectively.
<p>We are seeking a Senior Software Developer to join a small, highly collaborative, and innovative development team. This is a hands-on opportunity for an experienced software engineer who enjoys writing code, solving complex problems, mentoring others, and helping a development team move forward.</p><p><br></p><p>The ideal candidate is someone who has been a hands-on engineer and has experience leading by example. You will work closely with Scrum Masters, Development Team Leaders, product stakeholders, and other technical team members to balance new development, production support, modernization initiatives, and evolving business priorities.</p><p><br></p><p>This team is curious, collaborative, and always looking ahead. They are continuing to modernize their technology environment, expand their use of cloud solutions and AI, and transition portions of their application landscape from Blazor to Node.js and React.</p><p><br></p><p>What You'll Do</p><p>Develop and maintain software solutions using .NET, Node.js, React, Python, and related technologies.</p><p>Work closely with the development team to understand the larger product roadmap and how current development decisions impact long-term solutions.</p><p>Participate in daily stand-ups, sprint planning, and other Agile ceremonies.</p><p>Collaborate with Scrum Masters, Development Team Leaders, developers, and business stakeholders.</p><p>Help the team navigate shifting priorities between new development, product enhancements, and production support.</p><p>Troubleshoot production issues originating from help desk tickets, identify root causes, and determine whether issues are isolated or recurring.</p><p>Support modernization initiatives and cloud-based development, with an emphasis on Microsoft Azure.</p><p>Develop code packages and work with Azure services, including provisioning, administration, compute, storage, and other cloud capabilities.</p><p>Contribute to the organization's transition from Blazor to Node.js and React.</p><p>Participate in technical discussions with an eye toward scalability, maintainability, and long-term modernization.</p><p>Mentor and provide technical guidance to other developers through knowledge sharing, collaboration, and leading by example.</p><p>Contribute to the organization's continued exploration and implementation of AI technologies.</p><p>Work effectively within a development environment that incorporates both Agile and Waterfall methodologies.</p><p><br></p><p><br></p>
We are looking for a Software Developer to join a healthcare-focused organization in Dallas, Texas on a contract-to-permanent basis. This position will build and support enterprise integrations that connect business-critical platforms, enabling secure and dependable data movement across HR, finance, recruiting, IT service management, and related functions. The role works closely with stakeholders, application teams, and technical leaders to turn operational needs into scalable integration and automation solutions. This opportunity is ideal for someone who enjoys hands-on development, production support, and continuous improvement in a complex SaaS environment.<br><br>Responsibilities:<br>• Build, test, deploy, and maintain integrations across enterprise systems, cloud applications, and external vendors using APIs, web services, and file-based exchange methods.<br>• Create and support Workday integration solutions using tools such as Workday Studio, Orchestrate, and web services to meet business and operational needs.<br>• Develop data interfaces using standard exchange formats and ensure strong error handling, monitoring, and system reliability throughout each workflow.<br>• Design automation solutions with technologies such as Power Automate, Azure services, Freshservice Orchestration, UiPath, and Quickbase to streamline business processes.<br>• Translate functional requirements into technical designs, interface specifications, field mappings, and implementation plans for integration delivery.<br>• Monitor interface activity, investigate failures or data inconsistencies, and apply corrective actions to improve stability and performance.<br>• Contribute throughout the software development lifecycle, including discovery, design, coding, testing, deployment, and post-production support.<br>• Produce and maintain clear technical documentation such as runbooks, workflow diagrams, support guides, and interface design materials.<br>• Participate in peer reviews and architecture discussions to strengthen coding practices, solution quality, and long-term integration standards.
<p>We are looking for a Software Developer to join a team in California on a long-term contract assignment. This Software Developer role is ideal for a hands-on, detail-oriented individual who can build and support full stack applications while contributing to reporting and analytics solutions. The Software Developer position calls for someone who combines strong technical depth with sound judgment, clear communication, and a collaborative approach to solving business and technology challenges.</p><p><br></p><p>Responsibilities:</p><p>• Create and enhance full stack software solutions using C# and the .NET ecosystem, delivering reliable functionality for both new development and ongoing improvements.</p><p>• Develop secure, scalable backend components, including RESTful APIs, business logic, and integrations that support enterprise application needs.</p><p>• Build responsive user interfaces with web technologies such as ASP.NET MVC, Razor, JavaScript, and jQuery to provide a smooth user experience.</p><p>• Maintain and optimize existing applications by investigating defects, resolving performance issues, and applying updates that improve stability and usability.</p><p>• Execute comprehensive testing and debugging activities to confirm application quality, security, and dependable performance across environments.</p><p>• Manage code movement across cloud and on-premises environments, helping ensure consistent deployments and effective release practices.</p><p>• Design and support database objects, queries, and stored procedures in Microsoft SQL Server to enable efficient data processing and application performance.</p><p>• Produce and maintain reports, dashboards, and analytics outputs, while validating data accuracy and translating business reporting needs into practical solutions.</p><p>• Partner with stakeholders, business users, and technical team members to gather requirements, shape solutions, and provide support for third-party vendor applications.</p><p>• Offer technical guidance to less experienced developers and contribute to a team culture focused on knowledge sharing and continuous improvement.</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>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 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>
<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>
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.
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology.<br><br>Responsibilities:<br>• Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use.<br>• Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting.<br>• Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability.<br>• Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency.<br>• Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture.<br>• Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets.<br>• Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
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.
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
<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>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>
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.
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 Data Engineer to join a collaborative technology team in Nashville, Tennessee, where you will help shape reliable, scalable data solutions that support critical business and healthcare-focused initiatives. This role is ideal for a hands-on builder who enjoys working across technical and business groups to turn complex needs into well-architected platforms and efficient data workflows. You will contribute in an agile setting, partner with stakeholders across the organization, and play a key role in improving data quality, performance, and delivery.<br><br>Responsibilities:<br>• Build and enhance scalable data pipelines and modular processing frameworks that strengthen business intelligence and analytics capabilities.<br>• Work with cloud and big data technologies to develop, tune, and support high-volume data platforms for enterprise use.<br>• Convert business goals and functional needs into technical plans, while identifying dependencies, constraints, and delivery risks early in the process.<br>• Produce clean, maintainable code and follow disciplined engineering practices for source control, testing, deployment, and documentation.<br>• Partner with internal teams, leadership, and vendors to define requirements and design solutions that align with operational and strategic objectives.<br>• Improve pipeline reliability, system efficiency, and data processing performance through ongoing evaluation and optimization.<br>• Provide guidance to teammates by sharing practical knowledge of modern data engineering methods, tools, and development standards.<br>• Investigate production issues, resolve technical problems, and help maintain the stability and availability of data systems.<br>• Communicate architectural decisions and implementation details clearly to both technical stakeholders and non-technical audiences.
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.
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 an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
<p>We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.</p><p>• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.</p><p>• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.</p><p>• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.</p><p>• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.</p><p>• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.</p><p>• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.</p><p>• Manage code and workflow changes through version control practices to support traceability and controlled deployment.</p><p>• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.</p>