<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 Sr. DevOps Engineer to help strengthen and scale a cloud-based platform in San Francisco, California. This opportunity is ideal for a senior engineer who can improve infrastructure performance, streamline delivery processes, and support production systems in a hybrid work environment. The role partners closely with engineering teams to build dependable deployment practices, enhance platform visibility, and maintain stable operations across modern cloud services. <br> This is a contract to permanent opportunity and requires 2 days a week on site. <br> Responsibilities: • Develop, manage, and optimize cloud infrastructure that supports the company's live SaaS environment. • Create and maintain delivery pipelines for application services and machine learning workloads to enable efficient releases. • Oversee deployments across serverless components and container-based applications while ensuring consistency and reliability. • Administer and support a PostgreSQL data environment, including performance, availability, and operational upkeep. • Strengthen system dependability by improving monitoring, alerting, logging, and overall platform observability. • Automate provisioning and release processes through infrastructure-as-code practices using tools such as Terraform. • Collaborate with backend and machine learning teams to address infrastructure needs and enable smooth deployment workflows. • Participate in production support activities, including incident response and an on-call rotation. • Contribute to operational improvements that reduce manual effort and increase platform stability over time.
<p>We are looking for an experienced Systems/Network Engineer to join our team in Oakland, California. This Systems/Network Engineer role is a long-term contract position that requires a proactive and detail-oriented individual capable of managing and troubleshooting a variety of network systems in on-premises environments. The Systems/Network Engineerrole involves working both independently and collaboratively, including onsite support at 2 different locations throughout the week in Oakland, Ca. This is an Onsite Systems/Network Engineer Role.</p><p><br></p><p>Responsibilities:</p><ul><li>Support and troubleshoot Juniper network infrastructure (hands-on; non-Cisco environment)</li><li>Maintain and support on‑prem VMware virtualization</li><li>Perform Windows Active Directory cleanup, Group Policy management, and remediation</li><li>Provide Tier 3 support for LAN/WAN, wireless, VoIP, and data center operations</li><li>Support and troubleshoot police services and public safety systems</li><li>Assist with network security infrastructure (firewalls, VPNs, IDS/IPS, NAC)</li><li>Participate in after-hours maintenance windows and critical incident response as needed</li><li>Maintain documentation, asset inventory, and vendor relationships</li></ul><p>Environment</p><ul><li>Onsite data center; primarily on‑prem</li><li>Limited cloud usage (Office 365 for email and shared services)</li><li>May be the only technical resource onsite at times</li></ul>
<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>