We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support the Core Data platform.<br>• Create tools and services to enhance data discovery, governance, and privacy.<br>• Collaborate with product managers, architects, and software engineers to ensure the success of data platforms.<br>• Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions.<br>• Establish and document best practices for pipeline configurations, naming conventions, and operational standards.<br>• Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs).<br>• Participate in agile and scrum ceremonies to improve collaboration and team processes.<br>• Foster relationships with stakeholders to understand their needs and prioritize platform enhancements.<br>• Maintain detailed documentation to support data governance and quality initiatives.
<p><strong>Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment.</strong></p><p><br></p><p><strong>This role is onsite 4 days/week in Torrance, CA. </strong></p><p><br></p><p>This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.</p><p>This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
We are looking for a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
We are looking for an IT Engineer to support and evaluate the technology environment in California. This contract-to-permanent opportunity is ideal for a hands-on, detail-oriented individual who can investigate current systems, identify improvement areas, and help strengthen day-to-day infrastructure performance. The role combines desktop support, technical assessment, and practical problem-solving across user systems, directories, and network-connected assets.<br><br>Responsibilities:<br>• Review the existing IT environment to identify operational gaps, technical risks, and opportunities for improvement.<br>• Perform asset tracking and verification activities to help maintain accurate inventory records for hardware and related equipment.<br>• Conduct testing across workstations, systems, and network components to confirm functionality and uncover issues affecting performance.<br>• Provide desktop and help desk support by resolving user-reported incidents, troubleshooting Windows-based devices, and managing service requests.<br>• Administer and support Active Directory and Azure Active Directory user access, account maintenance, and related system tasks.<br>• Document findings and develop practical remediation recommendations to improve system stability, support processes, and overall IT operations.<br>• Assist with network-related troubleshooting by evaluating connectivity issues and reviewing topology information to support efficient resolution.<br>• Contribute to technical planning efforts related to transitioning away from the current organizational structure or environment as needed.
We are looking for an Artificial Intelligence (AI) Engineer to join a machinery manufacturing organization in Irvine, California on a contract basis with the potential for a permanent role. In this role, you will work closely with business stakeholders to turn practical needs into scalable AI-driven solutions, with a strong focus on Microsoft Copilot, Power Platform, and workflow automation. This opportunity is ideal for someone who combines hands-on development skills with solution architecture experience and can move ideas quickly from proof of concept into production-ready delivery.<br><br>Responsibilities:<br>• Collaborate with departments such as HR, Finance, and Marketing to uncover high-value AI opportunities and define solution goals.<br>• Convert business needs into technical designs for agent-based applications and intelligent workflow solutions.<br>• Build and enhance AI agents using Copilot Studio along with Microsoft Power Platform technologies.<br>• Develop automated, multi-step processes through Power Automate and connected enterprise integrations.<br>• Produce architecture documentation and implementation plans that support secure, scalable deployment.<br>• Provide technical direction and day-to-day guidance to distributed engineering resources, including offshore team members.<br>• Deliver working solutions within short engagement cycles while maintaining quality and business alignment.<br>• Lead initiatives from early prototype stages through enterprise deployment and operational readiness.<br>• Present proposed designs and completed solutions to architecture, security, and cloud governance stakeholders.
<p>We are looking for a Software Developer to create modern internal applications that simplify complex business operations and improve how teams work together. This position blends full-stack development, user-centered design, and systems integration to deliver practical tools that turn manual processes into efficient digital workflows. The role also supports the incorporation of AI-driven functionality into existing platforms through intuitive, reliable web experiences.</p><p><br></p><p>Responsibilities:</p><p>• Build and enhance internal web applications and external-facing tools that improve usability, security, and operational efficiency.</p><p>• Work with business partners and technical stakeholders to translate manual or fragmented processes into structured, database-backed solutions.</p><p>• Develop workflow features such as routing, approvals, progress tracking, alerts, and exception handling to support accountability across teams.</p><p>• Create responsive user interfaces, including forms, dashboards, tables, and status views that help users act quickly on important information.</p><p>• Design and maintain back-end services in C# and .NET to support application logic, integrations, and scalable data exchange.</p><p>• Develop SQL Server databases and data models that centralize information previously managed through disconnected files or email-based processes.</p><p>• Integrate third-party and internal APIs, including AI services, to support automated inputs, outputs, and user-facing results within business applications.</p><p>• Write Python scripts and automation components for data processing, workflow support, and AI-related integration tasks.</p><p>• Produce maintainable, well-documented code and integration patterns that support long-term stability and ease of future development.</p>