<p>***EXCELLENT OPPORTUNITY FOR A FORMER SCIENCE OR CHEMISTRY TEACHER OR SOMEONE WHO IS CURRENTLY AN EDUCATOR OF SCIENCE OR CHEMISTRY THAT IS INTERESTED IN TRANSITIONING INTO A CORPORATE POSITION OR IF YOU ARE PASSIONATE ABOUT SCIENCE AND CUSTOMER ENGAGEMENT, THIS IS THE ROLE FOR YOU!***</p><p><br></p><p>Our client is looking for a motivated Client Engagement Specialist to join their team in the western suburbs. In this role, you will play a pivotal part in driving business growth by building and maintaining client relationships, managing a sales pipeline, and promoting scientific services. This position is ideal for someone who thrives in a collaborative, fast-paced environment and is passionate about science, customer engagement and business development. This is a collaborative, non-commission-based role in a scientific B2B service environment. </p><p><br></p><p>Responsibilities:</p><p>• Develop a comprehensive understanding of the company's testing services and scientific offerings.</p><p>• Utilize CRM tools such as HubSpot to maintain accurate records of customer interactions and sales opportunities.</p><p>• Identify and engage new prospects to expand the sales pipeline and move them through the sales process.</p><p>• Build strong relationships with clients, understanding their needs and recommending tailored solutions.</p><p>• Conduct research on leads and market trends to customize outreach strategies.</p><p>• Stay updated on industry developments, competitor activities, and promotional strategies to enhance sales efforts.</p><p>• Actively seek new business opportunities through outreach methods such as cold calling.</p><p>• Collaborate with internal teams to ensure customer satisfaction and support business development initiatives.</p><p>• Handle additional tasks as needed to contribute to the overall success of the sales team.</p>
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance.<br><br>Responsibilities:<br>• Develop and maintain efficient data workflows to support marketing dashboards and reporting systems.<br>• Document data sources, definitions, and reporting logic to ensure consistency and governance.<br>• Optimize database queries and backend data processes to enhance scalability and performance.<br>• Conduct quality assurance checks to maintain data integrity and accuracy across reports.<br>• Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition.<br>• Collaborate with engineering and data science teams to streamline data pipelines and improve data quality.<br>• Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators.<br>• Provide ad hoc data analysis and reporting to support marketing campaign decision-making.<br>• Ensure data models and workflows are scalable and align with business needs.
We are looking for a skilled Database Technology Manager to lead and oversee data management and analytics initiatives. This role requires a balance of technical expertise and leadership to drive innovation and ensure data-driven decision-making across the organization. Based in New York, New York, you will play a critical role in managing advanced database technologies and fostering collaboration between technical and business teams.<br><br>Responsibilities:<br>• Lead the development and implementation of advanced database solutions to meet organizational goals.<br>• Manage and optimize data analytics tools, including Tableau and Microsoft SQL Server, to ensure seamless operations.<br>• Collaborate with cross-functional teams to gather requirements and deliver actionable insights through data visualization.<br>• Provide mentorship and training to team members on data analytics tools and methodologies.<br>• Develop and maintain data governance standards to ensure data security and compliance.<br>• Oversee the creation of compelling visual narratives to communicate data insights effectively to stakeholders.<br>• Drive innovation by identifying opportunities for process improvements and new data solutions.<br>• Stay updated on the latest advancements in database technologies and data science to apply best practices.<br>• Support the design and maintenance of data pipelines and engineering systems.<br>• Collaborate on Agile-based projects to ensure timely and efficient delivery of data-related initiatives.
<p>Robert Half is hiring! We are looking for an experienced AI Engineer to join our team. In this role, you will play a pivotal part in developing cutting-edge machine learning solutions that enhance our SaaS platform and drive innovation. You will collaborate with cross-functional teams to create scalable AI systems that improve user experiences, automate operations, and expand product capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement machine learning models, including predictive analytics and generative AI features, tailored for a modern SaaS platform.</p><p>• Build and optimize AI pipelines for data preparation, feature engineering, model training, evaluation, and deployment.</p><p>• Collaborate with product, data, and engineering teams to identify AI-driven opportunities that address business challenges.</p><p>• Develop cloud-based solutions using APIs, microservices, and containerized infrastructure to integrate machine learning models.</p><p>• Research and evaluate third-party AI tools and frameworks to enhance productivity and system functionality.</p><p>• Ensure AI systems adhere to privacy, security, and reliability standards while maintaining fairness and accuracy.</p><p>• Document workflows, maintain experiment logs, and establish reproducible processes for AI development.</p><p>• Stay informed about advancements in machine learning, generative AI, and SaaS architecture to apply best practices in projects.</p>
<p><strong>Summary</strong></p><p>We are seeking a <strong>curious, proactive, and innovative Data Scientist</strong> with expertise in <strong>AI/ML and Large Language Models (LLMs)</strong> to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with <strong>LLMs, NLP, and deep learning techniques</strong> to build scalable models and translate complex insights into actionable strategies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>AI/ML Model Development:</strong> Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.</li><li><strong>Data Analysis & Feature Engineering:</strong> Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.</li><li><strong>NLP & Agent-Based Applications:</strong> Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.</li><li><strong>Business Impact:</strong> Translate data science methodologies into actionable insights for stakeholders.</li><li><strong>End-to-End Deployment:</strong> Implement MLOps best practices for scalable, reliable model deployment.</li><li><strong>Visualization & Storytelling:</strong> Create dashboards and presentations to communicate findings to non-technical audiences.</li></ul>
Principal Data Scientist – Data & AI (Hybrid)<br><br>Global Technology Organization<br><br>We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.<br><br>In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.<br><br>What You’ll Work On<br><br>Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.<br><br>Lead the design and optimization of scalable data pipelines to support production-grade ML systems.<br><br>Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.<br><br>Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.<br><br>Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.<br><br>Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.<br><br>Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.<br><br>Preferred Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).<br><br>10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.<br><br>Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.<br><br>Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.<br><br>Proven experience deploying models in cloud-based or distributed environments.<br><br>Who Thrives Here<br><br>Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.<br><br>Strong analytical thinkers with exceptional communication skills.<br><br>Collaborative professionals who enjoy working across engineering, product, and data teams.<br><br>Individuals who embrace continuous learning and stay ahead of modern ML trends.
<p>We are seeking a Data Engineer responsible for designing, building, and maintaining the architecture and infrastructure needed to collect, store, process, and analyze large datasets efficiently. Someone with experience in a critical role supporting analytics and business intelligence teams by ensuring data is accessible, reliable, and ready for downstream use.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p>We are seeking a Data Engineer responsible for designing, building, and maintaining the architecture and infrastructure needed to collect, store, process, and analyze large datasets efficiently. Someone with experience in a critical role supporting analytics and business intelligence teams by ensuring data is accessible, reliable, and ready for downstream use. </p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
We are looking for a talented Copywriter to join our team on a contract basis in Fort Worth, Texas. In this role, you will craft compelling and audience-focused content tailored for physician audiences, while maintaining brand consistency and clarity. This position offers the opportunity to collaborate with technical experts and creative teams, ensuring innovative and compliant messaging across various platforms.<br><br>Responsibilities:<br>• Develop engaging content that aligns with brand identity and messaging for web, digital, social, print, video, and event communications.<br>• Simplify complex medical and engineering concepts into clear, audience-focused copy in collaboration with design, digital, and product teams.<br>• Edit and enhance copy from other writers and agencies, ensuring consistency, clarity, and adherence to established communication standards.<br>• Collaborate with design, digital strategy, and product teams to optimize the delivery of content across multiple channels.<br>• Advocate for and maintain brand voice, ensuring uniformity across all communication touchpoints.<br>• Contribute innovative ideas and storytelling approaches to support campaign strategies and creative problem-solving.<br>• Adapt creative content to meet specific legal, regulatory, or technical requirements, balancing compliance with creativity.
<p><strong>About the Role: </strong>We’re seeking a <strong>Senior Data Engineer</strong> with deep expertise in <strong>Python</strong> to design and implement scalable data solutions for complex, high-volume environments. This role involves building robust data pipelines, optimizing workflows, and collaborating with analytics teams to deliver actionable insights.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain advanced <strong>Python-based ETL pipelines</strong> for large-scale data processing.</li><li>Integrate data from multiple sources into secure, high-performance data platforms.</li><li>Collaborate with data scientists and business analysts to enable predictive analytics and reporting.</li><li>Implement best practices for data governance, security, and compliance.</li><li>Optimize data workflows for speed, reliability, and scalability.</li></ul><p><br></p>
<p>We are currently seeking .NET developers with experience in designing, developing, and maintaining applications using the .NET framework.</p><p><strong>Requirements:</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).</li><li>2–5 years of experience developing applications using .NET frameworks (C#, ASP.NET, .NET Core).</li><li>Proficient in object-oriented programming and design patterns.</li><li>Solid understanding of RESTful services, SOAP, and web technologies.</li><li>Experience with relational databases such as SQL Server or Oracle.</li><li>Familiarity with front-end technologies like JavaScript, HTML, CSS is a plus.</li><li>Knowledge of source control systems (e.g., Git, TFS).</li><li>Strong problem-solving and analytical skills.</li><li>Ability to work both independently and in a team-oriented environment.</li><li>Good communication and interpersonal skills.</li></ul><p><br></p>
<p><strong>Information Systems Analyst (Contract)</strong></p><p><strong>Location:</strong> REMOTE (EST OR CST) </p><p><strong>Employment Type:</strong> 52 Week Contract</p><p><strong>About the Role</strong></p><p>We are seeking an <strong>Information Systems Analyst</strong> for a project-based role focused on delivering innovative IT solutions through new and existing applications, systems architecture, and infrastructure. This position involves reviewing system requirements, analyzing business processes, and implementing technology solutions that meet organizational needs. The ideal candidate will work independently, applying professional judgment and technical expertise to design, code, test, and deploy software solutions.</p><p><strong>nKey Responsibilities</strong></p><ul><li>Modify, adapt, and implement short- and long-term IT solutions across applications, systems architecture, and network infrastructure.</li><li>Review system requirements and business processes to develop effective technology solutions.</li><li>Code, test, debug, and implement software applications to meet project objectives.</li><li>Collaborate with cross-functional teams to ensure successful integration and deployment of solutions.</li><li>Apply best practices and previous experience to make sound technical decisions.</li></ul>
<p>The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.</p><p> </p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)</li><li>Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)</li><li>Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving</li><li>Own MLOps practices: experiment tracking (MLflow, W& B), model registry, CI/CD for ML, canary deployments, drift detection, and observability</li><li>Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code</li><li>Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)</li><li>Continuously monitor, retrain, and improve live models to maintain performance and reliability</li></ul><p><br></p>
Position Overview<br>We are looking for a versatile IT Support and Application Development Professional with strong expertise in Microsoft technologies to join our team. This position is suited for an experienced individual who enjoys solving complex technical challenges and contributing to innovative technology initiatives. The role involves providing comprehensive technical assistance, building and maintaining software solutions, and partnering with various teams to optimize our technology environment. This is an on-site position and may occasionally require after-hours availability.<br><br>Primary Responsibilities<br><br>Deliver responsive technical assistance for hardware, software, and network-related issues.<br>Design, develop, and maintain applications aligned with organizational needs.<br>Diagnose and resolve advanced technical problems to ensure smooth business operations.<br>Work collaboratively with internal teams to identify and implement technology improvements.<br>Maintain accurate documentation of support activities and development workflows.<br>Support infrastructure management, including servers, networking, and security systems.<br>Research emerging technologies and recommend enhancements to existing systems.<br>Provide mentorship and guidance to less experienced team members.<br><br><br>Required Qualifications<br><br>Bachelor’s degree in Computer Science, Information Systems, or related discipline.<br>Minimum of 5 years in IT support combined with software development experience.<br>Strong proficiency in Microsoft platforms such as Microsoft 365, Azure, and .NET.<br>Solid programming skills in languages like C#, Java, Python, or similar.<br>In-depth understanding of operating systems, networking protocols, and database technologies.<br>Excellent troubleshooting and problem-solving capabilities.<br>Familiarity with IT service management frameworks (e.g., ITIL).<br>Strong communication and collaboration skills.<br>Experience with cloud services (Azure, AWS) and DevOps practices is advantageous.
<p><strong>About the Role: </strong>We’re seeking a <strong>Data Engineer</strong> with strong experience in <strong>Microsoft Fabric</strong> to design and optimize data pipelines that power analytics and business intelligence. This role is ideal for someone passionate about building scalable data solutions and leveraging modern cloud technologies to drive insights.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain data pipelines using <strong>Microsoft Fabric components</strong> (Lakehouse, Azure Data Factory, Data Warehouses, Notebooks, Dataflows).</li><li>Develop ETL processes for structured and unstructured data across multiple sources.</li><li>Collaborate with data scientists and analysts to deliver high-quality, reliable data solutions.</li><li>Implement best practices for data governance, security, and compliance.</li><li>Monitor and optimize data infrastructure for performance and scalability.</li></ul>
<p>The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.</p><p> </p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)</li><li>Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)</li><li>Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving</li><li>Own MLOps practices: experiment tracking (MLflow, W& B), model registry, CI/CD for ML, canary deployments, drift detection, and observability</li><li>Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code</li><li>Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)</li><li>Continuously monitor, retrain, and improve live models to maintain performance and reliability</li></ul><p><br></p>
<p><strong>About the Role:</strong></p><p>We’re looking for a hands-on, seasoned technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead technology teams and drive successful delivery of complex projects</li><li>Build strong partnerships with business stakeholders and product owners</li><li>Ensure effective utilization of resources and adherence to service delivery standards</li><li>Apply technical skills in application development and support while championing process improvements</li><li>Collaborate with architects and developers to maintain standards and define technical roadmaps</li><li>Evaluate technology options and recommend solutions that meet business needs</li><li>Estimate costs and timelines for projects and enhancements</li><li>Maintain detailed knowledge of key business applications and identify modernization opportunities</li><li>Oversee application design, configuration, testing, and release management processes</li><li>Communicate effectively across all organizational levels</li><li>Operate independently in a complex environment to meet service levels</li></ul><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science or equivalent experience</li><li>10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment </li><li>Experience leading product or project development teams on enterprise policy administration platforms preferred</li><li>Strong leadership skills with the ability to influence and collaborate in a matrixed organization</li></ul><p><br></p>
About the Role: We’re looking for a experienced technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality. Key Responsibilities: Lead technology teams and drive successful delivery of complex projects Build strong partnerships with business stakeholders and product owners Ensure effective utilization of IT resources and adherence to service delivery standards Apply technical skills in application development and support while championing process improvements Collaborate with architects and developers to maintain standards and define technical roadmaps Evaluate technology options and recommend solutions that meet business needs Estimate costs and timelines for projects and enhancements Maintain detailed knowledge of key business applications and identify modernization opportunities Oversee application design, configuration, testing, and release management processes Communicate effectively across all organizational levels Operate independently in a complex environment to meet service levels Qualifications: Bachelor’s degree in Computer Science or equivalent experience 10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment (COBOL, JCL, SQL, CICS, DB2, VSAM, etc.) Experience leading product or project development teams on enterprise policy administration platforms preferred Strong leadership skills with the ability to influence and collaborate in a matrixed organization
<p>We are looking for a Senior Data Architect working across diverse domains and technologies. In this long-term contract position, you will play a pivotal role in driving innovation, aligning technology strategies with business goals, and ensuring architectural excellence. This position is based on site 4 days per week in Southern California and offers the opportunity to join an amazing team.</p><p><br></p><p>Daily Tasks Performed: </p><p> - Translates high-level business requirements into data models and appropriate metadata test data and data quality standards. </p><p> - Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps. </p><p> - Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards guidelines and processes to ensure data quality. </p><p> - Works with IT teams business analysts and data analytics teams to understand data consumers' needs and develop solutions. </p><p> - Evaluates and recommends emerging technologies for data management storage and analytics </p><p> - Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services. </p><p><br></p><p> What this person will be working on: </p><p> - Understand data confidentiality security compliance needs and apply data protection rules including data sharing filtering and fencing at storage compute and consumption layers. </p><p> - Design data protection solutions at database table column level and APIs based on enterprise standard data security privacy architecture principles and reference architectures. </p><p> - Design the structure and layout of data systems including databases warehouses and lakes Select and implement database management systems that meet the organization's needs by defining data schemas optimizing data storage and establishing data access controls and security measures </p><p> - Deliver exceptional business value by enhancing data pipeline performance ensuring timely orchestration and upholding data governance. </p><p><br></p><p><br></p><p><br></p><p><br></p>
<p> <strong>Key Highlights:</strong></p><ul><li>Design and implement scalable AI and data architectures aligned with business goals</li><li>Lead development of data platforms and AI-driven systems for analytics, automation, and machine learning</li><li>Collaborate across business and technical teams to translate needs into architectural solutions</li><li>Stay current with emerging AI technologies and drive innovation across the organization</li></ul><p><br></p>
<p>We are looking for an experienced Data Analytics Engineer to join our team in Sarasota, Florida. This contract-to-permanent position offers an exciting opportunity to lead technical projects, optimize data systems, and contribute to innovative solutions. The ideal candidate will have a strong background in data engineering and analytics, as well as a commitment to delivering high-quality results in a collaborative environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead software and hardware upgrade initiatives, ensuring timely progress and providing regular updates to management.</p><p>• Develop and automate data pipelines using Spark, Delta Lake, and Databricks Workflows to enhance operational efficiency.</p><p>• Validate and maintain data accuracy through automated testing and tools such as Delta Live Tables.</p><p>• Administer and optimize Databricks environments, including cluster management, job scheduling, and performance tuning.</p><p>• Implement secure data governance practices by managing Unity Catalog and ensuring compliance with policies.</p><p>• Design and maintain data models and documentation using tools like PySpark, Python, and Azure DevOps.</p><p>• Provide technical support and guidance, including on-call availability to address critical issues.</p><p>• Ensure seamless integration and maintenance of data systems across both cloud and on-premises environments.</p>
<p>We're seeking a Data Engineer to design, build, and optimize data pipelines supporting advanced analytics, AI, and machine learning initiatives for a client in Watertown, MA. This role combines technical expertise with collaboration across IT and business teams to deliver scalable, secure, and impactful data solutions. This role is onsite 4 days a week in Watertown. </p><p><strong>Responsibilities</strong></p><ul><li>Develop and manage data pipelines using Python, SQL Server, Snowflake, and Azure Data Factory.</li><li>Optimize T-SQL code and database structures for performance and reliability.</li><li>Integrate analytics and machine learning outputs into business workflows.</li><li>Ensure compliance with data governance and security standards.</li><li>Collaborate with stakeholders to refine requirements and deliver solutions.</li><li>Support BI tools such as Power BI, Tableau, and SQL Server BI stack.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in San Antonio, Texas. This role offers an opportunity to design, develop, and optimize data solutions that support business operations and strategic decision-making. The ideal candidate will possess a strong technical background, excellent problem-solving skills, and the ability to collaborate effectively across departments.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines using Azure Synapse Analytics, Microsoft Fabric, and Azure Data Factory.<br>• Implement advanced data modeling techniques and design scalable BI solutions that align with business objectives.<br>• Create and maintain dashboards and reports using Power BI, ensuring data accuracy and usability.<br>• Integrate data from various sources, including APIs and Dataverse, into Azure Data Lake Storage Gen2.<br>• Utilize tools like Delta Lake and Parquet to manage and structure data within a lakehouse architecture.<br>• Define and implement BI governance frameworks to ensure consistent data standards and practices.<br>• Collaborate with cross-functional teams such as Operations, Sales, Engineering, and Accounting to gather requirements and deliver actionable insights.<br>• Troubleshoot, document, and resolve data issues independently while driving continuous improvement initiatives.<br>• Lead or contribute to Agile/Scrum-based projects to deliver high-quality data solutions within deadlines.<br>• Stay updated on emerging technologies and trends to enhance data engineering practices.
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.
We are looking for a skilled Data Engineer to join our team in Ann Arbor, Michigan, and contribute to the development of a modern, scalable data platform. In this role, you will focus on building efficient data pipelines, ensuring data quality, and enabling seamless integration across systems to support business analytics and decision-making. This position offers an exciting opportunity to work with cutting-edge technologies and play a key role in the transformation of our data environment.<br><br>Responsibilities:<br>• Design and implement robust data pipelines on Azure using tools such as Databricks, Spark, Delta Lake, and Airflow.<br>• Develop workflows to ingest and integrate data from diverse sources into Azure Data Lake.<br>• Build and maintain data transformation layers following the medallion architecture principles.<br>• Apply data quality checks, validation processes, and deduplication techniques to ensure accuracy and reliability.<br>• Create reusable and parameterized notebooks to streamline batch and streaming data processes.<br>• Optimize merge and update logic in Delta Lake by leveraging efficient partitioning strategies.<br>• Collaborate with business and application teams to understand and fulfill data integration requirements.<br>• Enable downstream integrations with APIs, Power BI dashboards, and reporting systems.<br>• Establish monitoring, logging, and data lineage tracking using tools like Unity Catalog and Azure Monitor.<br>• Participate in code reviews, agile development practices, and team design discussions.
