We are looking for a skilled Software Engineer to join our team in Jacksonville, Florida, on a Contract to permanent position. In this role, you will develop and enhance software applications using C++ while automating workflows through batch scripting. This position offers an excellent opportunity to contribute to high-performance systems and solve complex technical challenges.<br><br>Responsibilities:<br>• Design and implement software features and applications using the C++ programming language.<br>• Develop clean, efficient, and maintainable code that meets technical requirements and standards.<br>• Collaborate with cross-functional teams to gather and define technical specifications for projects.<br>• Perform unit testing and support integration testing to ensure software quality and reliability.<br>• Identify and resolve software defects through debugging and troubleshooting techniques.<br>• Automate repetitive tasks and workflows by creating and maintaining batch scripts.<br>• Optimize and maintain existing codebases to improve performance and functionality.<br>• Stay informed about the latest advancements and best practices in C++ development.
We are looking for an experienced Software Engineer to join a manufacturing organization in Grand Prairie, Texas. In this role, you will help create and enhance business-critical web applications and services, contributing to technical direction while delivering reliable, scalable solutions. The position offers the opportunity to work closely with product and cross-functional teams to translate business needs into effective software. You will play a key part in building high-quality systems and supporting strong engineering standards across the team.<br><br>Responsibilities:<br>• Design, develop, and enhance web-based applications and backend services using C#, .NET technologies, and modern front-end frameworks.<br>• Guide architectural planning for complex software platforms and help shape technical decisions that support long-term scalability.<br>• Manage the full feature lifecycle by clarifying requirements, estimating effort, building solutions, validating quality, and supporting releases.<br>• Mentor fellow engineers by sharing technical knowledge, reviewing approaches, and encouraging strong development practices.<br>• Produce readable, maintainable, and thoroughly tested code while identifying opportunities to improve application speed and system efficiency.<br>• Collaborate with product leaders and cross-functional stakeholders to ensure technical deliverables align with operational and business objectives.<br>• Investigate production issues, implement fixes, and participate in support coverage as needed to maintain application stability.<br>• Promote effective engineering tools, development standards, and modern practices that improve software quality and team productivity.
<p>We are looking for a Software Engineer to join our in Albuquerque, New Mexico.</p><p>This role is predominately remote with some onsite as needed. Must be local to New Mexico or willing to relocate.</p><p><br></p><p>The Software Engineer will help create dependable software that supports farmers across the globe. This position offers the chance to work in a lean, highly autonomous environment where engineers shape product capabilities from concept through release. You will contribute to customer-facing SaaS applications, strengthen product quality through testing and observability, and evaluate technical approaches that improve efficiency, scalability, and performance.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deliver meaningful enhancements for customer-facing SaaS products, taking features from design through production release.</p><p>• Collaborate with support and customer-facing teams to investigate user challenges and translate feedback into practical engineering improvements.</p><p>• Examine logs, monitoring data, and session insights to identify defects, diagnose root causes, and improve application reliability.</p><p>• Build and maintain automated test coverage across unit, integration, and end-to-end levels to support stable, high-quality releases.</p><p>• Research and apply new tools, frameworks, and architectural patterns that reduce operating costs and improve system performance.</p><p>• Contribute to cloud-hosted services and applications using modern backend and frontend technologies in an on-site engineering environment.</p><p>• Strengthen development workflows by improving continuous integration and deployment practices for faster, more reliable delivery.</p><p>• Support systems that interact with containerized environments, cloud infrastructure, and asynchronous messaging patterns where needed.</p><p>Other duties as needed</p>
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern software solutions that connect field operations with back-office systems. This is a Long-term Contract position offering the opportunity to contribute to cloud-based services, scalable APIs, and user-facing applications while working in an Agile environment. The role calls for a strong technical contributor who can help shape architecture decisions, improve system reliability, and partner with engineers and stakeholders across teams to deliver practical, high-impact solutions.<br><br>Responsibilities:<br>• Lead the design and implementation of scalable software components across data pipelines, service layers, and orchestration workflows.<br>• Build and enhance cloud-based services that collect, process, and persist data for connected platforms and applications.<br>• Create and maintain APIs within a microservices architecture to support communication between IoT-enabled systems and end-user tools.<br>• Develop web interfaces and service-to-service integrations by consuming cloud API endpoints and translating business needs into technical solutions.<br>• Investigate production issues, diagnose platform problems, and deliver effective fixes to improve system performance and stability.<br>• Participate in architectural discussions, code reviews, and testing activities to ensure software quality and alignment with engineering standards.<br>• Collaborate with cross-functional engineering teams and business stakeholders to assess new features, estimate effort, and validate solutions in real-world environments, including construction site settings when needed.<br>• Mentor less experienced engineers by sharing development best practices, encouraging strong teamwork, and supporting technical growth.<br>• Contribute to event-driven system design and help advance the adoption of modern cloud technologies and engineering approaches.<br>• Perform unit and system-level validation to confirm that enhancements and changes meet functional and reliability expectations.
<p>We are seeking a skilled <strong>Software Engineer</strong> with strong experience in <strong>.NET, C#, and .NET Core</strong> and exposure to <strong>AI-driven application development</strong>. In this role, you will design, build, and maintain scalable software solutions, contribute to modern application architecture, and help integrate AI capabilities into business applications.</p><p>Key Responsibilities</p><ul><li>Design, develop, test, and maintain applications using <strong>C#, .NET, and .NET Core</strong></li><li>Build and support <strong>RESTful APIs</strong>, microservices, and backend systems</li><li>Collaborate with cross-functional teams to gather requirements and deliver technical solutions</li><li>Integrate <strong>AI/ML features, APIs, or tools</strong> into existing and new applications</li><li>Optimize application performance, scalability, and security</li><li>Participate in code reviews, debugging, and troubleshooting</li><li>Support CI/CD pipelines and modern DevOps practices</li><li>Document technical designs, workflows, and implementation details</li></ul><p><br></p>
We are looking for a Software Engineer to join our team and help deliver reliable, modern applications that support internal users and members. This position contributes across the development process, partnering with cross-functional colleagues to design, build, test, deploy, and enhance software solutions. The role is well suited for an experienced individual who can work with general guidance, solve challenging technical issues, and contribute thoughtful ideas that improve product quality and team effectiveness.<br><br>Responsibilities:<br>• Design, build, and maintain web applications using modern development frameworks and languages, including .NET technologies and JavaScript-based tools.<br>• Contribute throughout the full development lifecycle by translating business needs into technical solutions, writing code, validating functionality, and supporting production releases.<br>• Partner with engineers and other stakeholders to troubleshoot application issues, investigate root causes, and implement effective fixes for complex technical problems.<br>• Manage source code through Git workflows, participate in peer reviews, and help maintain strong coding standards across the team.<br>• Work within an Agile Scrum environment to support iterative delivery, align on priorities, and produce dependable software on schedule.<br>• Create, expand, and maintain automated test coverage to protect application stability and reduce the risk of defects in future releases.<br>• Deploy and support solutions across cloud environments such as Microsoft Azure as well as on-premises infrastructure when required.<br>• Provide ongoing maintenance and technical support for existing applications, enhancements, and user-reported issues.<br>• Keep current with evolving tools, frameworks, and engineering practices to recommend improvements and strengthen development outcomes.
<p>Robert Half is hiring! We are looking for a Software Engineer to join a technology team delivering modern web solutions. This role focuses on building reliable front-end and back-end applications, partnering with cross-functional teams, and improving the quality and performance of software products. The ideal candidate brings strong experience with React, Node.js, and cloud-based development, along with a practical mindset for scalable and secure engineering.</p><p><br></p><p>Responsibilities:</p><p>• Create and enhance web-based applications using React and Node.js to support business and user needs.</p><p>• Develop, integrate, and maintain REST APIs and microservices that enable dependable system communication.</p><p>• Deploy and manage applications within cloud infrastructure, ensuring stable and efficient operation.</p><p>• Work closely with product leaders, designers, and fellow engineers to deliver new functionality and refinements.</p><p>• Produce organized, readable, and well-documented code that supports long-term maintainability.</p><p>• Contribute to peer code reviews and help strengthen development standards across the team.</p><p>• Investigate technical issues, resolve defects, and improve overall application speed and responsiveness.</p><p>• Apply sound practices for security, scalability, and system resilience throughout the development lifecycle.</p><p>• Assist with continuous integration and automated release processes to support efficient deployments.</p><p>• Take part in Agile team activities such as planning sessions, daily check-ins, and retrospective meetings.</p>
We are looking for a Software Engineer to build modern web applications that combine reliable backend services with intuitive user interfaces. This position partners closely with product, design, and quality teams to turn business needs into well-crafted technical solutions. Based in New York, the role is ideal for someone who values maintainable code, strong engineering practices, and delivering high-quality digital experiences.<br><br>Responsibilities:<br>• Create and enhance full-stack web solutions using C#, .NET, ASP.NET Core, Razor, Blazor, JavaScript, and React.js.<br>• Develop backend services, front-end components, and interactive application features that support a smooth and responsive user experience.<br>• Work alongside stakeholders across product, design, and testing to shape requirements, build functionality, and release updates effectively.<br>• Improve application reliability by addressing performance, security, accessibility, and overall code quality throughout the development lifecycle.<br>• Connect applications with relational databases and external service integrations while ensuring data accuracy and system stability.<br>• Review code, share technical guidance, and encourage sound development standards across the engineering team.<br>• Participate in architecture and implementation decisions that support scalable, maintainable, and efficient software delivery.
<p>Position: Mobile Full-Stack Software Engineer | Strong backend skills big plus</p><p> Location: Remote</p><p> Salary: $150,000 - 160,000 base + bonus + exceptional benefits</p><p><br></p><p> *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p><br></p><p> Mobile Full Stack Software Engineer (Mid–Senior)</p><p> Greenfield. 0→1. High‑impact engineering.</p><p> A well-funded enterprise backed by a world‑class parent company is launching a brand‑new mobile‑first digital division after decades of brick‑and‑mortar success. This team is building a 0→1 product from scratch, with full executive level sponsorship. Early team members will shape architecture, culture, and direction.</p><p><br></p><p> The Opportunity</p><p> Join a newly built, high-caliber engineering team responsible for delivering the first mobile MVP and scaling it across dozens of business lines. This is startup-style building with enterprise stability.</p><p><br></p><p> What You’ll Do</p><p> • Build and iterate on a Flutter/Dart mobile application.</p><p> • Develop backend microservices using NestJS, Node.js, Postgres, and modern API patterns.</p><p> • Architect and scale systems in AWS.</p><p> • Work full-stack—but with strong emphasis on backend engineering excellence.</p><p> • Collaborate closely with product, design, and engineering leadership </p><p><br></p><p> What We’re Prioritizing</p><p> All engineers must be full‑stack, but strong backend experience is a major differentiator.</p><p> You bring:</p><p> • 2+ years mobile development (Flutter/Dart preferred).</p><p> • Depth in backend engineering (NestJS, Node.js, Postgres, microservices).</p><p> • Experience in startups or 0→1 product development.</p><p> • Ability to move fast while applying scalable engineering practices.</p><p> Hiring both Mid-Level and Senior Engineers.</p><p><br></p><p> Why Join</p><p> • Build a brand-new product before the first MVP release.</p><p> • Influence technical decisions and foundational architecture.</p><p> • Work with a small, elite team backed by secured funding and top-level leadership.</p><p><br></p><p><br></p><p> *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***</p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Software Engineer</strong>. In this role, you will play a key part in building new products, enhancing existing platforms, and ensuring seamless integration between hardware and software components. <strong>This role is fully onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize firmware for embedded systems used in new product development initiatives</li><li>Collaborate closely with software and hardware teams to ensure seamless integration across system components</li><li>Support existing products through troubleshooting, debugging, and ongoing enhancements</li><li>Provide technical support for internal teams and external stakeholders, including issue resolution and performance improvements</li><li>Contribute to the maintenance and evolution of legacy systems, ensuring reliability and scalability</li><li>Develop and maintain clear, organized technical documentation, including design specs, test procedures, and release notes</li><li>Participate in testing, validation, and debugging of firmware to ensure performance and quality standards are met</li><li>Stay current with emerging technologies and contribute to continuous improvement of development processes</li></ul>
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p>We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization.</p><p><br></p><p>The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives.</p><p><br></p><p>This is a 6 month contract to hire role.</p><p><br></p><p><u>Responsibilities</u></p><ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability.<br><br>Responsibilities:<br>• Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms.<br>• Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution.<br>• Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency.<br>• Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization.<br>• Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput.<br>• Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support.<br>• Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency.<br>• Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure.<br>• Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy.<br>• Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making.<br><br>Responsibilities:<br>• Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use.<br>• Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability.<br>• Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets.<br>• Develop data models and schema designs that support reporting, analytics, and downstream business needs.<br>• Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization.<br>• Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals.<br>• Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions.<br>• Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting.<br><br>Responsibilities:<br>• Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting.<br>• Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems.<br>• Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users.<br>• Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting.<br>• Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions.<br>• Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python.<br>• Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time.<br>• Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
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.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
<p>We are looking for a fully remote Data Engineer to support and enhance a modern data environment serving critical business reporting and analytics needs. This role will focus on maintaining reliable warehouse operations while expanding scalable data pipelines and improving how information is integrated across systems. This position is well suited for someone who enjoys hands-on engineering work, thoughtful data design, and close collaboration with technical stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the daily performance, stability, and upkeep of the data warehouse to ensure dependable access to trusted data.</p><p>• Design, build, and refine data pipelines that move and transform information efficiently across multiple platforms.</p><p>• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads.</p><p>• Create and maintain SQL-based data structures and workflows that improve data quality, usability, and consistency.</p><p>• Apply sound data modeling practices to organize datasets for reporting, analysis, and downstream application use.</p><p>• Partner with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.</p><p>• Support cloud-based data movement and orchestration processes, including work involving Azure Data Factory where needed.</p><p>• Contribute to reporting and visualization readiness by preparing well-structured datasets for tools such as Power BI, Tableau, or Looker.</p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
<p>We are seeking a <strong>Data Engineer</strong> with strong experience in <strong>Microsoft Azure</strong> and <strong>Databricks</strong> to help design, build, and maintain modern cloud-based data solutions. This individual will play a key role in developing scalable data pipelines, optimizing data architectures, and enabling business intelligence and analytics initiatives across the organization.</p><p>This is an excellent opportunity for someone passionate about cloud technologies, big data, and transforming raw data into actionable insights.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines in Azure and Databricks</li><li>Build and optimize ETL/ELT processes for structured and unstructured data</li><li>Develop and support data lake, data warehouse, and analytics solutions</li><li>Integrate data from multiple internal and external sources</li><li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements</li><li>Ensure data quality, integrity, security, and governance standards are met</li><li>Monitor and troubleshoot data workflows and performance issues</li><li>Create and maintain technical documentation and data models</li><li>Support reporting and analytics initiatives by delivering reliable datasets</li></ul><p><br></p>
<p><strong>Key Responsibilities</strong></p><p><strong>Leadership & Team Mentoring </strong></p><ul><li>Lead, mentor, and develop a team of data engineers and BI developers.</li><li>Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.</li><li>Foster a collaborative and learning-oriented culture across technical and business functions.</li></ul><p><strong>Data Engineering </strong></p><ul><li>Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.</li><li>Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.</li><li>Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).</li><li>Implement best practices in data architecture, automation, and version control (e.g., Git).</li></ul><p><strong> </strong></p><p><strong> </strong></p><p><strong>Business Intelligence & Reporting</strong></p><ul><li>Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.</li><li>Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.</li></ul><p><br></p>
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued.<br><br>Responsibilities:<br>• Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem.<br>• Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools.<br>• Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting.<br>• Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure.<br>• Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma.<br>• Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery.<br>• Assess emerging technologies and recommend practical additions to the data stack as business needs evolve.<br>• Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
<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>