<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p>Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.</p><p><br></p><p>Solution Design & Technical Leadership</p><ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul><p>Data Infrastructure & Platform</p><ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul><p>Data Quality, Governance & Collaboration</p><ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul><p><br></p>
We are looking for a Software Engineer to join a collaborative engineering team in Burlingame, California, supporting the design and delivery of modern cloud-based solutions. This Long-term Contract position offers the opportunity to shape scalable services, contribute to architecture decisions, and build reliable integrations between field operations and business systems. The role suits an engineer who enjoys hands-on development, cross-functional collaboration, and creating practical software solutions that can evolve with changing product needs.<br><br>Responsibilities:<br>• Lead the design and implementation of scalable software components across data processing, backend services, and orchestration layers.<br>• Build and enhance cloud-native applications that support the exchange of information between operational platforms and business systems.<br>• Create, document, and maintain APIs and microservices that connect devices, applications, and distributed services.<br>• Develop web-based interfaces and service-to-service workflows by integrating with cloud API endpoints.<br>• Investigate production issues, resolve technical problems, and improve overall platform stability and performance.<br>• Participate in design discussions, code reviews, and testing activities to maintain high engineering standards.<br>• Partner with architects, engineers, and business stakeholders to evaluate feature requests, estimate delivery effort, and validate solutions.<br>• Support field validation efforts by working with cross-functional teams to test and refine software in live construction environments.<br>• Mentor less experienced engineers and promote strong collaboration, sound development practices, and continuous improvement within the team.
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.