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14 results for Staff Data Platform Engineer in San Francisco, CA

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Agent Platform Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Data Engineer

San Francisco, CA
remote
Temporary / Contract
65 - 70 USD / Hourly
We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment. Responsibilities:• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.
2026-08-31T00:00:00Z

DevOps Engineer

San Francisco, CA
onsite
Permanent / Full Time
180000 - 215000 USD / Yearly
We are looking for a Senior or Staff DevOps Engineer to strengthen our engineering organization in San Francisco, California. In this role, you will improve the foundation that supports application delivery, platform reliability, and developer productivity across cloud-based systems. You will work closely with engineering partners to create scalable infrastructure, streamline release processes, and build dependable operational practices that support continued growth. Responsibilities:• Architect and maintain cloud infrastructure using infrastructure-as-code practices that promote consistency, scalability, and operational simplicity.• Create and refine automated delivery pipelines to support dependable, efficient releases across multiple services and environments.• Establish repeatable deployment approaches for serverless applications, container-based platforms, and orchestrated workflows.• Build internal automation and developer tools that reduce manual effort and help backend and machine learning teams work more efficiently.• Enhance development, testing, and staging environments to improve workflow speed and reduce friction during software delivery.• Define strong monitoring and observability practices across logs, metrics, and tracing to improve system visibility and troubleshooting.• Investigate reliability, latency, and performance issues in distributed environments and partner with engineers to implement lasting improvements.• Strengthen operational readiness by supporting incident response, contributing to post-incident reviews, and turning findings into better tooling and processes.• Integrate security and compliance controls into infrastructure and deployment workflows, including access management, patching, and vulnerability remediation.
2026-08-11T00:00:00Z

Software Engineer III (Platform Engineering)

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half is seeking a Software Engineer III (Platform Engineering) to support the infrastructure, platforms, and services that power our applications and data processing environments. This role is ideal for someone who enjoys building cloud infrastructure, automating processes, improving platform reliability, and troubleshooting production issues in a fast-paced environment. What You'll DoSpend approximately 70% of your time building and deploying infrastructure and platform enhancements, with 30% focused on operational support and troubleshooting.Design, build, and maintain scalable, secure, and reliable cloud-based infrastructure supporting applications, ETL/ELT processes, and platform services.Develop and maintain infrastructure automation, monitoring solutions, CI/CD pipelines, and operational tooling.Build and manage AWS resources, including EC2 instances and related cloud services.Support platform services in production environments, troubleshoot outages, and drive root-cause analysis and resolution efforts.Manage critical incidents, including coordinating with external vendors such as Microsoft to resolve high-priority production issues.Implement Infrastructure-as-Code (IaC) solutions and improve platform reliability, scalability, and performance.Collaborate with development, security, and operations teams to support application delivery and platform stability.Conduct code reviews, mentor junior engineers, and promote engineering best practices.Participate in an on-call rotation (approximately every three weeks).
2026-08-15T00:00:00Z

Sr. Fullstack Engineer

San Francisco, CA
onsite
Permanent / Full Time
200000 - 240000 USD / Yearly
Our client is a well-funded, early-stage technology company building AI-driven software that helps businesses automate complex operational and transaction-heavy workflows. The platform leverages modern AI technologies to streamline document processing, data extraction, and decision-making at scale.As the company continues to grow, they are looking to add a Senior Software Engineer to their San Francisco team.What You'll Do<ul><li>Design, build, and maintain backend services, APIs, and data pipelines that support high-volume business operations.</li><li>Develop and deploy AI-powered workflows that transform unstructured documents and real-world data into reliable, actionable outputs.</li><li>Build and enhance applications across the stack using React, TypeScript, Python, Go, and Node.js.</li><li>Partner with product and business stakeholders to solve operational challenges through software.</li><li>Own projects from architecture and development through deployment, monitoring, and ongoing improvements.</li><li>Help improve system scalability, reliability, and performance as the platform continues to grow.</li></ul>What’s Offered<ul><li>Competitive compensation package</li><li>Meaningful equity opportunity</li><li>Medical, dental, and vision coverage</li><li>High-impact role with significant technical ownership</li><li>Collaborative, low-bureaucracy environment</li><li>Opportunity to help shape both product and engineering strategy</li></ul>If you're interested in learning more about this opportunity, please apply directly or reach out for a confidential conversation.
2026-08-28T00:00:00Z

Senior DevOps Engineer (AWS / PeopleSoft)

San Ramon, CA
remote
Permanent / Full Time
104000 - 155000 USD / Yearly
Robert Half is seeking an experienced DevOps Engineer III to design, build, automate, support, and continuously improve enterprise application environments supporting PeopleSoft, MuleSoft, MOVEit, and other HRFS platforms.This role requires expertise in AWS cloud services, infrastructure automation, DevOps practices, disaster recovery, and enterprise application support. The DevOps Engineer III will serve as a technical leader responsible for platform reliability, security, automation, operational excellence, and disaster recovery readiness across critical business systems.Experience supporting managed file transfer platforms, enterprise integrations, and highly available cloud environments is highly preferred.What You'll DoEnvironment Operations & SupportSupport and maintain production and non-production application environments.Provide PeopleSoft administration and infrastructure support, including environment refreshes, migrations, updates, security maintenance, and Integration Broker troubleshooting.Monitor system availability, performance, capacity, and operational health.Troubleshoot complex application and infrastructure issues and implement corrective actions.Support releases, maintenance activities, patch management, upgrades, and outage remediation.Participate in a 24x7 on-call rotation for critical business systems.Review and address security vulnerabilities in partnership with internal teams and vendors.Ensure high availability, disaster recovery readiness, backup validation, and operational resiliency.Maintain architecture, operational, configuration, and disaster recovery documentation.Support software compliance and audit activities.Automation & Platform EngineeringDesign, build, configure, and deploy application and infrastructure environments.Develop Infrastructure-as-Code (IaC) solutions and automation frameworks.Create and maintain automation scripts for provisioning, deployments, monitoring, and operational processes.Support CI/CD pipelines and drive continuous improvement through automation and standardization.Architecture & Solution DesignDesign secure, scalable, highly available cloud and infrastructure solutions.Develop disaster recovery strategies with defined RPO/RTO objectives.Evaluate emerging technologies, conduct proof-of-concept activities, and recommend solutions.Design integrations between enterprise applications and infrastructure platforms.Provide capacity planning, scalability recommendations, and technical design reviews.Technical LeadershipProvide mentorship and technical guidance to DevOps and support engineers.Lead discussions related to cloud architecture, automation, operational strategy, and platform reliability.Participate in technology evaluations, vendor selection, and roadmap planning.Promote DevOps, security, cloud, and operational best practices.Collaborate with application, infrastructure, security, and business teams to deliver
2026-08-18T00:00:00Z

Machine Learning Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Full Stack Software Engineer III

San Ramon, CA
remote
Permanent / Full Time
102000 - 150000 USD / Yearly
Our client is at the forefront of transforming how teams work through secure, enterprise-grade generative AI applications. They are developing and enhancing an advanced AI-powered assistant for internal use — enabling employees to harness AI safely within a protected environment. The Full Stack Software Engineer III will help design, develop, and evolve the next-generation AI platform, driving innovation while ensuring scalability, security, and exceptional user experience. This role spans the full stack — from back-end integration to front-end interfaces — in close collaboration with product, design, and AI engineering teams. What You’ll Do Design, develop, and enhance AI-enabled enterprise applications that boost productivity and collaboration. Build and optimize features using large language models, prompt engineering, and AI-assisted workflows. Write efficient, maintainable, and scalable code across database, middleware, and front-end layers. Develop low- to medium-complexity systems and components within larger architectures. Conduct code reviews; mentor and guide Level I and II engineers. Act as module-level design authority, ensuring adherence to architecture and security standards. Plan and execute unit testing; review and validate test plans from entry level engineers. Define and implement integration and performance testing strategies. Troubleshoot and resolve complex production issues; establish frameworks for reliability and observability. Provide advanced production support and drive continuous improvement in performance and user experience. Collaborate with AI engineers, data scientists, and product owners to deliver innovative solutions. Perform additional related duties as assigned.
2026-08-18T00:00:00Z

Salesforce Technical Architect (Software Engineer IV)

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Robert Half and Protiviti operate one of the most advanced Salesforce ecosystems in professional services. We don't simply administer Salesforce—we leverage it as a core component of a hybrid cloud architecture connecting Sales Cloud, Azure, and enterprise platforms at scale. We are seeking a Salesforce Technical Architect to own the platform end-to-end and lead a distributed team of 10+ engineers across the U.S. and India. This is a hands-on architecture leadership role responsible for technical strategy, engineering standards, and key platform decisions. You will also lead major initiatives including Salesforce Data 360 (CDP), Agentforce expansion, and AI-enabled data and automation capabilities. What You'll Do Architecture & Platform Leadership Define when to leverage native Salesforce capabilities versus Azure-based Node.js or Python services. Design and oversee scalable integrations between Salesforce and internal or third-party systems using event-driven and near real-time architectures. Lead the implementation and evolution of Salesforce Data 360, Agentforce, and AI-powered data pipelines. Develop secure, scalable architectural patterns that support growth while maintaining governance and platform integrity. Proactively manage platform health using Salesforce Health Check and Optimizer. Engineering Governance & Quality Serve as the final authority for architecture reviews and technical design decisions. Establish engineering standards for a global development organization. Embed security, testing, and compliance throughout the SDLC. Implement automated quality gates including code reviews, testing, and security scanning. Enable teams to move quickly through strong frameworks, tooling, and automation. CI/CD & Automation Advance Python-driven CI/CD pipelines and support reliable deployments. Automate key SDLC processes including testing, security review, and release management. Drive a culture of continuous delivery and engineering excellence. Team Leadership & Delivery Mentor and lead senior and entry level engineers across multiple locations. Guide development of scalable Salesforce solutions using Apex, LWC, Flows, and platform capabilities. Design and support APIs, integrations, and automation solutions using Azure, Node.js, Python, and cloud-native services. Build and manage enterprise data pipelines supporting Salesforce and Data 360. Define integration standards and data contracts across enterprise platforms. Lead expansion of Agentforce capabilities and AI-powered employee experiences. Drive adoption of Einstein Copilot, predictive analytics, and generative AI within marketing and sales workflows. Partner with product, business, and data teams to deliver scalable solutions and technical direction.
2026-08-18T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
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. 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. 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.
2026-08-18T00:00:00Z

Senior Systems Engineer

San Francisco, CA
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a Senior Systems Engineer to strengthen and advance a secure, high-performing technology environment in San Francisco, California. This position plays a central role in support the infrastructure strategy across cloud services, on-premises systems, and network operations while ensuring dependable service delivery. Responsibilities:• Oversee the performance, security, and availability of infrastructure across internal and client-facing environments, including ownership Microsoft 365, Azure AD, Active Directory platforms.• Administer core security technologies such as Palo Alto firewalls, endpoint protection tools, and mobile device management solutions to protect systems and data.• Drive infrastructure initiatives from planning through execution, including upgrades, deployments, and improvements that support business and operational goals.• Provide advanced technical support for workstations, servers, mobile hardware, and telecommunications systems, resolving complex issues with urgency and precision.• Maintain accurate technical records, software inventories, patch schedules, and operational procedures to support compliance and continuity.• Partner with external service providers and internal teams to coordinate reliable, secure, and efficient infrastructure operations.• Deliver responsive support to senior leadership and participate in an after-hours on-call rotation as needed to maintain service stability.• Travel periodically to client locations to assist with network deployments, troubleshooting, and project-related implementation work.
2026-08-28T00:00:00Z

Data Analyst

Foster City, CA
onsite
Temporary / Contract
42 - 47 USD / Hourly
Our client is seeking a Contract Data Analyst to support a Salesforce modernization project in San Mateo, CA. This hybrid role (1-2 days onsite) will focus heavily on data cleanup, data integrity, and overall data quality as the organization works to enhance and streamline its Salesforce environment. The ideal candidate will have strong experience analyzing, cleansing, and validating large datasets, with a particular emphasis on CRM data and process improvement. This person will partner with business and technical teams to identify data issues, standardize records, and help ensure the success of the Salesforce transformation initiative. Key Responsibilities:<ul><li>Perform data cleanup, deduplication, normalization, and validation within Salesforce and related systems. </li><li>Identify data quality issues, inconsistencies, and gaps, and recommend corrective actions. </li><li>Support data migration, mapping, and integrity checks tied to the Salesforce modernization effort. </li><li>Analyze existing data structures and help establish best practices for ongoing data governance and stewardship.</li><li>Create reports, dashboards, and ad hoc analyses to support project stakeholders and business decision-making. </li><li>Collaborate with cross-functional teams, including business users, IT, and project leadership, to ensure data accuracy and consistency. </li><li>Document data definitions, business rules, and cleanup processes. </li><li>Assist with testing and validation of updated Salesforce workflows, fields, and records. </li></ul>
2026-08-27T00:00:00Z

Data Analyst

Oakland, CA
onsite
Temporary / Contract
27 - 30 USD / Hourly
Data AnalystJob DescriptionSeeking a Data Analyst to collect, analyze, and interpret data to help drive business decisions and improve operational performance.Responsibilities<ul><li>Analyze large datasets and identify trends</li><li>Create reports, dashboards, and visualizations</li><li>Perform data validation and quality checks</li><li>Present findings and recommendations</li><li>Collaborate with cross-functional teams</li></ul>
2026-09-04T00:00:00Z