<p><strong>Position: Data Engineer</strong></p><p><strong>Location: Des Moines, IA - HYBRID</strong></p><p><strong>Salary: up to $130K permanent position plus exceptional benefits</strong></p><p> </p><p><strong>*** 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. ***</strong></p><p> </p><p>Our clients is one of the best employers in town. Come join this successful organization with smart, talented, results-oriented team members. You will find that passion in your career again, working together with some of the best in the business. </p><p> </p><p>If you are an experienced Senior Data Engineer seeking a new adventure that entails enhancing data reliability and quality for an industry leader? Look no further! Our client has a robust data and reporting team and need you to bolster their data warehouse and data solutions and facilitate data extraction, transformation, and reporting.</p><p> </p><p>Key Responsibilities:</p><ul><li>Create and maintain data architecture and data models for efficient information storage and retrieval.</li><li>Ensure rigorous data collection from various sources and storage in a centralized location, such as a data warehouse.</li><li>Design and implement data pipelines for ETL using tools like SSIS and Azure Data Factory.</li><li>Monitor data performance and troubleshoot any issues in the data pipeline.</li><li>Collaborate with development teams to track work progress and ensure timely completion of tasks.</li><li>Implement data validation and cleansing processes to ensure data quality and accuracy.</li><li>Optimize performance to ensure efficient data queries and reports execution.</li><li>Uphold data security by storing data securely and restricting access to sensitive data to authorized users only.</li></ul><p>Qualifications:</p><ul><li>A 4-year degree related to computer science or equivalent work experience.</li><li>At least 5 years of professional experience.</li><li>Strong SQL Server and relational database experience.</li><li>Proficiency in SSIS, SSRS.</li><li>.Net experience is a plus.</li></ul><p> </p><p><strong>*** 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 mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** </strong></p><p> </p>
We are looking for a skilled Data Engineer to join our team in Chicago, Illinois. This long-term contract role offers an exciting opportunity to contribute to the development and optimization of data systems while working with advanced technologies. The ideal candidate will bring expertise in building efficient data pipelines, managing large datasets, and integrating data processes to support business objectives.<br><br>Responsibilities:<br>• Develop, implement, and maintain scalable data pipelines using tools such as Apache Spark and Hadoop.<br>• Optimize ETL processes to ensure efficient extraction, transformation, and loading of data.<br>• Collaborate with cross-functional teams to understand data needs and design solutions that align with business goals.<br>• Manage large-scale datasets, ensuring data integrity and accuracy.<br>• Integrate data from various sources using Apache Kafka and other relevant technologies.<br>• Monitor and troubleshoot data systems to identify and resolve performance issues.<br>• Create documentation and provide training on data processes to support team operations.<br>• Conduct regular reviews of data architecture to enhance system functionality.<br>• Ensure compliance with data governance and security standards.<br>• Work closely with stakeholders to deliver actionable insights and reporting based on data analytics.
We are looking for a skilled Engineer to develop and enhance software solutions that address complex challenges in the real estate and property industry. This long-term contract position involves designing, coding, testing, and maintaining scalable and secure software systems. Based in Minneapolis, Minnesota, this role offers an opportunity to contribute to impactful engineering projects while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and implement software solutions that align with customer needs and organizational goals.<br>• Develop, test, debug, and document code to ensure reliability and performance.<br>• Collaborate with team members to solve technical challenges and remove roadblocks.<br>• Apply knowledge of frameworks and systems design to create stable and scalable software.<br>• Participate in product planning and provide input on technical strategies and solutions.<br>• Troubleshoot and analyze complex issues to identify and resolve defects.<br>• Mentor developers who are early in their careers and provide technical guidance to the team.<br>• Explore and adopt new technologies to enhance product performance and lifecycle.<br>• Contribute to DevOps processes, including support rotations and subsystem knowledge-building.<br>• Assist in recruiting efforts by participating in interviews and evaluating potential team members.
<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
<p>We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.</p><p>• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.</p><p>• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.</p><p>• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.</p><p>• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.</p><p>• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.</p><p>• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.</p><p>• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.</p><p>• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.</p>
We are looking for a Senior Data Architect to join our team on a long-term contract basis in Marysville, Ohio. In this role, you will design and maintain advanced data solutions to support analytics and business intelligence initiatives within the automotive industry. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to the optimization of data systems and processes.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using cloud-based services such as Glue, S3, and Redshift.<br>• Build and orchestrate workflows with tools like Step Functions, EventBridge, and Lambda.<br>• Develop and integrate CI/CD pipelines using GitHub and other DevOps tools for automated deployments.<br>• Create conceptual, logical, and physical data models tailored for both operational and analytical systems.<br>• Optimize database queries, normalize datasets, and apply performance tuning strategies.<br>• Utilize Python and PySpark for data transformation, automation, and engineering tasks.<br>• Monitor and assess pipeline performance using tools like CloudWatch and Glue job logs.<br>• Troubleshoot and resolve issues related to data quality, system performance, and compliance.<br>• Implement metadata management practices and audit trails to ensure adherence to governance standards.<br>• Collaborate with cross-functional teams and stakeholders to align data architecture with business goals.
<p>**Please email Valerie Nielsen for immediate response**</p><p><br></p><p><strong>Data Analytics Manager (Retail experience is strongly preferred)</strong></p><p><strong>Onsite | Downtown Los Angeles</strong></p><p><strong>Base Salary: 160,000 - 180,000</strong></p><p>We are seeking a <strong>Data Analytics Manager</strong> to lead analytics and data engineering efforts that directly impact business strategy and operational decision-making. This role will partner closely with leadership and cross-functional teams across merchandising, retail, and supply chain to turn complex data into actionable insights.</p><p><strong>What You’ll Do</strong></p><ul><li>Lead the design, development, and optimization of scalable analytics and data engineering solutions</li><li>Translate business questions into analytical frameworks, models, and dashboards</li><li>Partner with Retail, Merchandise Planning/Buying, and Supply Chain teams to drive data-informed decisions</li><li>Build and productionize tools and systems that improve data reliability, accessibility, and performance</li><li>Mentor and guide analysts and engineers, setting best practices for analytics and data quality</li><li>Present insights and recommendations to senior stakeholders in a clear, compelling way</li></ul><p><br></p><p><br></p>
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our dynamic team in Houston, Texas. This Contract to permanent position offers a unique opportunity to work on cutting-edge agentic software development, where autonomous AI agents play a critical role in building and optimizing healthcare technology solutions. The ideal candidate will be eager to contribute to innovative projects, leveraging AI techniques to transform traditional processes and drive automation within the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines and integrations using AI-based techniques and tools such as Azure Data Factory and Event Hub.<br>• Work collaboratively with cross-functional teams to identify automation opportunities and develop intelligent workflows.<br>• Develop and deploy autonomous agents to interact with data systems, monitor processes, and generate actionable insights.<br>• Build and support data warehousing and analytics platforms utilizing Azure Synapse, Data Lake, and Power BI.<br>• Enhance data processing and decision-making capabilities by integrating machine learning models and AI techniques.<br>• Ensure all solutions adhere to security standards and compliance requirements while being optimized for deployment in Azure environments.<br>• Participate actively in Agile ceremonies and contribute to the continuous improvement of engineering practices.<br>• Explore innovative approaches to agentic software development, pushing the boundaries of automation and AI implementation.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
Position: SENIOR CDP DATA ANALYST - Help Build a Smarter Connected Digital Experience<br>Location: REMOTE<br>Salary: UP TO $140K + EXCEPTIONAL BENEFITS<br><br>*** 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. ***<br><br>A nationally recognized company with a long history of success is launching a bold new digital initiative—and this is your opportunity to help shape it from the ground up.<br>This newly formed department is building a mobile-first product from scratch. It’s a greenfield, 0-to-1 launch with the pace and creativity of a startup, backed by the resources and stability of a Fortune 500 parent. The first MVP is nearing launch, and we’re assembling a team of 20 innovators to bring it to life.<br>As a Senior CDP Data Analyst, you’ll be a key player in designing and evolving a custom-built Customer Data Platform. Your work will unify customer insights across systems and empower smarter, faster decision-making across the organization.<br>What You’ll Be Doing<br> • Collaborate with data engineers, architects, and business stakeholders to define data requirements and use cases.<br> • Design data models and integration logic to support a unified customer view.<br> • Analyze customer behavior across platforms to uncover insights and segmentation opportunities.<br> • Build dashboards and visualizations that drive strategic decisions.<br> • Ensure data quality, consistency, and governance across the Customer Data Platform.<br> • Translate business needs into technical specifications and support iterative development.<br> • Advocate for data best practices and help standardize customer metrics across teams.<br>What You Bring<br> • 5+ years of experience in data analysis, with a focus on customer data and cross-platform integration.<br> • Advanced skills in SQL and Python, R, or similar languages.<br> • Experience with data visualization tools like Power BI or Tableau.<br> • Familiarity with cloud data platforms (Azure, AWS, GCP) and modern data warehousing.<br> • Strong communication skills and ability to work across technical and non-technical teams.<br> • Bonus: Experience with customer journey analytics, segmentation modeling, personalization strategies, and data privacy frameworks (GDPR, CCPA).<br>Why Join Now?<br> • Be part of a ground-floor team shaping a transformative digital product.<br> • Work in a fast-paced, agile environment with full executive support.<br> • Influence how data drives decisions across a nationally recognized organization.<br> • Enjoy the freedom to innovate—without legacy constraints.<br><br>*** 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 mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p><strong>Overview:</strong></p><p>We are seeking a Machine Learning/AI Engineer to join our growing team in St. Louis, MO. This role focuses on designing and developing scalable machine learning and artificial intelligence models that help organizations streamline operations, gain business insights, and innovate across services. You will collaborate closely with cross-functional partners to build, deploy, and maintain advanced ML/AI solutions that address real-world challenges.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy machine learning and AI models for various business applications, from natural language processing to predictive analytics.</li><li>Collaborate with data engineers and business stakeholders to acquire data, define project requirements, and implement robust solutions.</li><li>Integrate ML models into cloud platforms and existing product infrastructures.</li><li>Monitor, evaluate, and improve model performance with a focus on scalability, reliability, and accuracy.</li><li>Assist in the creation of new data pipelines, automation systems, and APIs that enhance data-driven decision-making.</li><li>Document processes, models, and workflows and provide support and training to peers as needed.</li><li>Keep up to date with the latest advancements in AI/ML technologies and recommend best practices and tools.</li></ul><p><br></p>
<p><strong>Role Summary</strong></p><p>As a Technical Project Manager focused on data and AWS cloud, you will lead the planning, execution, and delivery of engineering efforts involving data infrastructure, data platforms, analytics, and cloud services. You will partner with data engineering, analytics, DevOps, product, security, and business stakeholders to deliver on key strategic initiatives. You are comfortable navigating ambiguity, managing dependencies across teams, and ensuring alignment between technical direction and business priorities.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end-to-end technical projects pertaining to AWS cloud, data platforms, data pipelines, ETL/ELT, analytics, and reporting.</li><li>Define project scope, objectives, success criteria, deliverables, and timelines in collaboration with stakeholders.</li><li>Create and maintain detailed project plans, roadmaps, dependency maps, risk & mitigation plans, status reports, and communication plans.</li><li>Track and monitor project progress, managing changes to scope, schedule, and resources.</li><li>Facilitate agile ceremonies (e.g., sprint planning, standups, retrospectives) or hybrid methodologies as appropriate.</li><li>Serve as the bridge between technical teams (data engineering, DevOps, platform, security) and business stakeholders (product, analytics, operations).</li><li>Identify technical and organizational risks, escalate when needed, propose mitigation or contingency plans.</li><li>Drive architectural and design discussions, ensure technical feasibility, tradeoff assessments, and alignment with cloud best practices.</li><li>Oversee vendor, third-party, or external partner integrations and workstreams.</li><li>Ensure compliance, security, governance, and operational readiness (e.g., data privacy, logging, monitoring, SLA) are baked into deliverables.</li><li>Conduct post-implementation reviews, lessons learned, and process improvements.</li><li>Present regularly to senior leadership on project status, challenges, KPIs, and outcomes.</li></ul>
Position: IT Product Owner (Data Integrations)<br> Location: Remote<br> Salary: Up to $110,000 base + excellent benefits<br> <br> *** 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. ***<br> Are you a Product Owner who thrives at the intersection of vision, strategy, and execution? <br> <br> Do you love transforming complex problems into elegant, buildable solutions? Are you motivated by the opportunity to help build brand‑new digital products from the ground up?<br> If so, we have an incredible Product Owner role— playing a critical part in a major digital transformation that is redefining and transforming services.<br> This is a rare chance to join a newly built, remote‑first product and engineering team shaping the future of a multi‑industry ecosystem.<br> <br> About the Transformation<br> We're building a modern, connected, mobile‑responsive digital platform that unifies dozens of systems into one seamless experience. Think:<br> • MVP‑first mindset<br> • Scalable, flexible architecture<br> • Seamless data flows<br> • Consumer‑grade UX<br> • A team empowered to innovate quickly<br> And you’ll be at the center of it.<br> You’ll Own…<br> • Translating data, API, and integration requirements into clear, actionable user stories<br> • Partnering closely with the Sr Data Integration Engineer to shape data flows, CDP capabilities, and API frameworks<br> • Prioritizing a data‑heavy backlog that balances business value with technical complexity<br> • Ensuring delivered work is accurate, secure, and scalable<br> You Are…<br> • A Product Owner who understands how data moves through systems<br> • Comfortable working with data engineers, APIs, ETL/ELT workflows, and integration frameworks<br> • A strong communicator who can simplify complex technical concepts for non‑technical audiences<br> <br> *** 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><strong>Overview:</strong></p><p>We are looking for a Business Intelligence (BI) Developer who can bridge the gap between business needs and technical solutions. This role focuses on creating impactful dashboards and visualizations that empower decision-making across the organization. You’ll work closely with stakeholders to understand requirements and deliver insights that drive operational excellence.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with business teams to gather requirements and translate them into actionable BI solutions.</li><li>Design and develop dashboards and reports that provide a clear visualization of company data.</li><li>Collaborate with data engineers (who create data sets) to build dashboards on top of curated data.</li><li>Maintain a customer success mindset, ensuring solutions meet stakeholder needs and add value.</li><li>Utilize cloud platforms such as Snowflake, Databricks, or SQL-based environments.</li><li>Stay current with BI tools and best practices to continuously improve reporting capabilities.</li></ul><p><br></p>
We are looking for an experienced Network Engineer to join our team in Austin, Texas, on a long-term contract basis. In this role, you will contribute to the design, maintenance, and optimization of network systems, with a focus on renewable energy technologies. Collaborating with a team of skilled engineers and project managers, you will play a key part in ensuring seamless network operations and supporting the development of cutting-edge solutions.<br><br>Responsibilities:<br>• Design and implement network systems tailored to renewable energy installations.<br>• Utilize AutoCAD to edit existing templates and create detailed drawings for fiber communication protocols.<br>• Develop XML configurations for point creation and data integration.<br>• Work with Supervisory Control and Data Acquisition (SCADA) systems to monitor, control, and optimize renewable energy machinery.<br>• Perform network module configurations, including IP protocols and real-time sensor data integration.<br>• Collaborate with project managers and engineers to ensure efficient system operations and troubleshooting.<br>• Provide technical expertise in electrical and mechanical aspects of network systems.<br>• Maintain documentation and ensure compliance with industry standards.<br>• Support potential fieldwork activities, including commissioning, wire termination, and system checks.<br>• Optimize network performance through continuous monitoring and improvements.
<p>We are looking for a skilled Data Warehouse Engineer to join our team in Malvern, Pennsylvania. This Contract-to-Permanent position offers the opportunity to work with cutting-edge data technologies and contribute to the optimization of data processes. The ideal candidate will have a strong background in Azure and Snowflake, along with experience in data integration and production support. This role is 4-days onsite a WEEK, with no negotiations. Please apply directly if you're interested.</p><p><br></p><p>Responsibilities:</p><p>• Develop, configure, and optimize Snowflake-based data solutions to meet business needs.</p><p>• Utilize Azure Data Factory to design and implement efficient ETL processes.</p><p>• Provide production support by monitoring and managing data workflows and tasks.</p><p>• Extract and analyze existing code from Talend to facilitate system migrations.</p><p>• Stand up and configure data repository processes to ensure seamless performance.</p><p>• Collaborate on the migration from Talend to Azure Data Factory, providing expertise on best practices.</p><p>• Leverage Python scripting to enhance data processing and automation capabilities.</p><p>• Apply critical thinking to solve complex data challenges and support transformation initiatives.</p><p>• Maintain and improve Azure Fabric-based solutions for data warehousing.</p><p>• Work within the context of financial services, ensuring compliance with industry standards.</p>
<p>We are looking for an experienced Python Data/ML/AI Engineer to join our team in Tampa, Florida. This is a contract position with the potential for a long-term opportunity, offering the chance to work on challenging projects while contributing to the design and development of advanced data solutions. The ideal candidate will possess a strong background in data engineering, analytics, and database management, and will play a key role in transforming data into actionable insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement business intelligence solutions tailored to user requirements and organizational goals.</p><p>• Collaborate with stakeholders to gather technical and functional requirements, ensuring the successful creation of reporting solutions.</p><p>• Design, model, and maintain databases and data marts that support analytical and reporting needs.</p><p>• Build and manage ETL processes to efficiently load data into data repositories.</p><p>• Monitor and enhance data quality, recommending governance practices and controls for self-service analytics.</p><p>• Create automated validation and reconciliation checks to ensure data accuracy and integrity.</p><p>• Design data warehouses and implement dimensional modeling techniques such as star and snowflake schemas.</p><p>• Utilize programming languages like Python to clean, merge, and reshape data for analysis.</p><p>• Write optimized queries, functions, and stored procedures for databases such as SQL Server and PostgreSQL.</p><p>• Debug and troubleshoot issues across application and database layers to ensure seamless operations.</p>
<p><strong>Senior QA Automation Engineer (Contract – 12 Months, Potential Extension)</strong></p><p><strong>Location:</strong> Princeton, NJ (Preferred)</p><p><strong>Work Hours:</strong> 8 AM – 5 PM EST</p><p><strong>About the Role</strong></p><p>We are seeking an experienced <strong>Senior QA Automation Engineer</strong> to support automated testing efforts across data pipelines, analytics workflows, and cloud‑based data platforms. This role focuses heavily on SQL, Python, and Databricks, and will play a key part in ensuring high‑quality, reliable software delivery.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop automated tests for Databricks workflows and Python-based data processing.</li><li>Build and maintain test frameworks utilizing Python and SQL.</li><li>Integrate automated tests into CI/CD pipelines (experience with Harness is a plus).</li><li>Create, maintain, and execute test cases for both existing and new user stories.</li><li>Collaborate with cross-functional engineering and product teams to ensure full coverage and consistent, reliable release quality.</li><li>Support testing for the SonarQube rollout and reporting initiative.</li></ul>
<p>We are looking for a <strong>Senior Software Engineer</strong> with deep experience in <strong>C#, .NET, and Microsoft Azure</strong>, who is excited to build and integrate <strong>AI-powered features</strong> into modern applications. In this role, you will design scalable cloud solutions, integrate AI services (LLMs, cognitive services, and APIs), and help drive the adoption of intelligent automation and data-driven capabilities across the platform.</p><p>This role is ideal for a hands-on engineer who understands how to <strong>apply AI pragmatically</strong>—not just experiment with it.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable applications using <strong>C# and .NET (.NET Core / .NET 6+)</strong></li><li>Build cloud-native solutions leveraging <strong>Microsoft Azure</strong></li><li>Integrate <strong>AI and ML services</strong> into applications (e.g., Azure OpenAI, Cognitive Services, third-party AI APIs)</li><li>Design and consume <strong>RESTful APIs</strong> and microservices</li><li>Implement AI-driven features such as:</li><li>Intelligent search and recommendations</li><li>Natural language processing (chat, summarization, classification)</li><li>Automation and decision-support workflows</li><li>Collaborate with product, data, and engineering teams to translate business needs into technical solutions</li><li>Participate in architecture discussions, code reviews, and technical design</li><li>Optimize application performance, security, and reliability</li><li>Implement CI/CD pipelines and DevOps best practices</li><li>Mentor junior engineers and contribute to engineering standards</li></ul><p><br></p>
<p>We are looking for an experienced Ful Stack & Data Solutions Engineer to join our team in Juno Beach, Florida. In this long-term contract position, you will play a key role in developing, integrating, and maintaining applications that support our technical infrastructure and business processes. You will collaborate closely with business analysts and project teams to deliver reliable and efficient solutions while adhering to industry standards and best practices.</p><p><br></p><p>Responsibilities:</p><p>• Develop, integrate, and maintain applications that align with business needs and technical infrastructure.</p><p>• Design and implement Power BI dashboards, databases, and full-stack applications to enhance data visualization and decision-making processes.</p><p>• Troubleshoot and resolve complex system issues, ensuring optimal performance and reliability.</p><p>• Mentor less experienced developers, providing technical guidance and supporting their growth.</p><p>• Participate in Agile project planning, including scrum ceremonies and software lifecycle management.</p><p>• Ensure compliance with security policies, regulatory requirements, and industry standards.</p><p>• Develop cloud-based solutions, leveraging technologies like AWS Lambda, Glue, and other automation tools.</p><p>• Create and manage CI/CD pipelines to support efficient software deployment.</p><p>• Collaborate on microservices architecture and DevOps practices to optimize system integrations.</p><p>• Conduct workflow automation and data structuring to streamline operations and improve efficiency.</p>
<p>We’re looking for a SQL developer, responsible for solving complex data and workflow challenges and building tools that directly impact production, fulfillment, and reporting systems. You’ll work closely with cross-functional teams to design, develop, and support custom software solutions that drive operational efficiency and scalability.</p><p><br></p><p><strong>Top Responsibilities</strong></p><ol><li>Design & Develop Custom Solutions: Build and maintain Windows-based and web applications that integrate with production systems, inventory tools, and third-party platforms.</li><li>Data Engineering & Automation: Create data workflows using SQL Server, SSIS, and other tools to automate print production, reporting, and invoicing processes.</li><li>System Integration: Develop interfaces with devices and systems such as barcode scanners, shipping tools, and ERP platforms.</li><li>Project Collaboration: Partner with technical leads and account managers to define project goals, test solutions, and ensure successful deployment.</li><li>Mentorship & Support: Guide junior developers and provide ongoing support for deployed applications, including training and documentation.</li></ol>
<p>Position Summary</p><p>We’re looking for a Sr. SQL developer, responsible for solving complex data and workflow challenges and building tools that directly impact production, fulfillment, and reporting systems. You’ll work closely with cross-functional teams to design, develop, and support custom software solutions that drive operational efficiency and scalability.</p><p><br></p><p>Top Responsibilities</p><ol><li>Design & Develop Custom Solutions: Build and maintain Windows-based and web applications that integrate with production systems, inventory tools, and third-party platforms.</li><li>Data Engineering & Automation: Create data workflows using SQL Server, SSIS, and other tools to automate print production, reporting, and invoicing processes.</li><li>System Integration: Develop interfaces with devices and systems such as barcode scanners, shipping tools, and ERP platforms.</li><li>Project Collaboration: Partner with technical leads and account managers to define project goals, test solutions, and ensure successful deployment.</li><li>Mentorship & Support: Guide junior developers and provide ongoing support for deployed applications, including training and documentation.</li></ol>
Position: SENIOR DATA INTEGRATION ENGINEER - Architect the backbone of a Mobile-First Digital Experience<br>Location: REMOTE<br>Salary: UPTO $175K + BONUS + EXCEPTIONAL BENEFITS<br><br>*** 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. ***<br><br>A nationally recognized company with a long-standing legacy of success is launching a bold new digital initiative—and this is your opportunity to help build it from the ground up.<br>With full executive support and the resources of a Fortune 500 parent, this newly formed department is creating a mobile-first product from scratch. It’s a greenfield, 0-to-1 launch with the pace and creativity of a startup, but with the stability and funding already secured. The first MVP is nearing launch, and we’re assembling a team of 20 innovators to bring it to life.<br>We’re looking for a Senior Data Integration Engineer to lead the design and development of a scalable, secure, and high-performing data ecosystem. You’ll play a critical role in building a custom Customer Data Platform (CDP), integrating internal and external systems, and enabling real-time personalization, analytics, and enterprise-wide insights.<br>What You’ll Do<br> • Build and maintain scalable data pipelines using Python and cloud-native tools.<br> • Design and implement a robust CDP to unify customer data across platforms.<br> • Develop APIs and data workflows for real-time and batch integrations.<br> • Optimize data environments for performance, security, and reliability.<br> • Collaborate with cross-functional teams to define data requirements and integration strategies.<br> • Implement data governance and privacy practices to ensure compliance.<br> • Leverage CI/CD pipelines and automation to streamline deployment and maintenance.<br> • Document architecture, data flows, and integration patterns for scalability.<br>What You Bring<br> • 10+ years of experience with RESTful APIs, SQL, Python, or PowerShell.<br> • 5+ years working with cloud platforms (Azure, AWS, GCP) and cloud-native tools (ADF, Glue, dbt, Airflow).<br> • Proven experience building or integrating with CDPs (Segment, Salesforce CDP, Adobe Experience Platform, or custom solutions).<br> • Experience with data integration tools (Apache NiFi, Talend, Informatica).<br> • Familiarity with event-driven architectures, message queues (Kafka), and microservices.<br> • Strong understanding of data privacy, security, and governance.<br> • Bonus: Experience with Snowflake, BigQuery, Databricks, and Infrastructure as Code tools (Terraform, Pulumi, CloudFormation).<br><br><br>*** 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 mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).</li><li>Strong programming skills in Python (preferred) or similar languages.</li><li>Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.</li><li>Experience with data preprocessing, feature engineering, and model optimization techniques.</li><li>Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Familiarity with big data tools like Spark, Hadoop, or equivalent.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.</li><li>Excellent problem-solving and communication skills.</li></ul><p><br></p>
