<p>Our client in Modesto is seeking a Data Integration Engineer to support the build-out of their BHRS data platform and modern analytics environment. This is a <strong>6‑month contract</strong> role that requires <strong>100% onsite</strong> work.</p><p> </p><p>Key Responsibilities: </p><p>•Build, test, and deploy data pipelines using Azure Data Factory, Azure</p><p>Functions, and/or custom scripts to ingest data from multiple source systems</p><p>into the BHRS data platform.</p><p>•Extend the existing SmartCare API integration to pull additional datasets and</p><p>ensure comprehensive EHR data coverage for the dashboard.</p><p>•Develop new integrations with state-level systems (BHIS, CalOMS, CSI) and</p><p>county internal systems (financial, HR/workforce, compliance tracking) using</p><p>APIs, SFTP, flat file ingestion, or database connectors as appropriate.</p><p>•Write data transformation and cleansing logic (SQL, Python, or C#) to</p><p>normalize, deduplicate, validate, and prepare source data for the analytical</p><p>data model.</p><p>•Implement error handling, logging, retry logic, and alerting for all data</p><p>pipelines to ensure reliability and rapid troubleshooting.</p><p>•Replace placeholder/dummy data in the existing dashboard with live data feeds,</p><p>validating accuracy and completeness against source systems.</p><p>•Support the Solutions Architect in implementing the data model, including table</p><p>creation, stored procedures, views, and indexing.</p><p>•Write and maintain unit tests and integration tests for data pipelines and</p><p>transformation logic.</p><p>•Document all integrations, data mappings, transformation rules, and pipeline</p><p>configurations for ongoing maintenance and knowledge transfer.</p><p> </p><p><br></p>
We are looking for a skilled Cloud Developer to join our team in Sacramento, California. The ideal candidate will play a critical role in managing cloud infrastructure, enhancing automation processes, and ensuring the security and compliance of our systems. This position offers an opportunity to work collaboratively across departments, driving innovation and optimizing business operations.<br><br>Responsibilities:<br>• Manage Azure resources such as networks, storage, and services to ensure optimal performance and scalability.<br>• Administer Microsoft 365 platforms including Exchange, SharePoint, Teams, and OneDrive.<br>• Configure and maintain Azure Active Directory, focusing on roles, conditional access, and governance.<br>• Implement and oversee Intune for device compliance, deployment, and management.<br>• Develop automation solutions for provisioning, user management, and routine IT workflows.<br>• Create scripts and Power Automate flows to streamline operations and enhance accuracy in financial and business processes.<br>• Apply security policies to devices and systems, ensuring compliance with best practices and conducting periodic audits.<br>• Collaborate with business units to deliver secure integrations and automate data workflows.<br>• Evaluate and implement emerging technologies to improve efficiency, scalability, and innovation across business systems.<br>• Serve as a key resource for troubleshooting complex issues and maintaining system documentation for operational continuity.
<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>