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4 results for Lab Technician in Rancho Santa Margarita, CA

Data Analyst
  • Glendale, CA
  • onsite
  • Temporary
  • 59.38 - 68.75 USD / Hourly
  • <p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
  • 2026-03-25T21:54:05Z
Data Engineer
  • Glendale, CA
  • remote
  • Temporary
  • 82.00 - 87.00 USD / Hourly
  • 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.
  • 2026-04-03T15:54:06Z
Package Engineer
  • El Segundo, CA
  • onsite
  • Permanent
  • 100000.00 - 120000.00 USD / Yearly
  • <p>We are looking for a Senior Packaging Engineer to join our Product Development team (hybrid in greater Los Angeles). In this role, you will play a pivotal part in the lifecycle of packaging solutions for a variety of beauty and personal care brands.. The position requires a creative and technical mindset to deliver cost-effective, functional, and visually appealing packaging that aligns with brand standards.</p><p><br></p><p>Responsibilities:</p><p>• Develop and oversee packaging specifications, codes, and artwork to ensure accuracy and alignment with product requirements.</p><p>• Collaborate with Product Development and Formulation teams to evaluate packaging compatibility with product formulas and ensure optimal performance.</p><p>• Coordinate with suppliers and contract manufacturers to obtain samples, conduct testing, and ensure packaging components meet quality, cost, and timeline expectations.</p><p>• Create and maintain technical drawings, die lines, and component specifications using relevant systems.</p><p>• Review and approve artwork mechanicals, ensuring proper fit and adherence to packaging standards.</p><p>• Partner with Supply Chain and Operations teams to design shippers and unit cartons, identify cost-saving opportunities, and resolve production or vendor challenges.</p><p>• Track packaging deliverables and ensure components are ready for brand project milestones through regular team meetings.</p><p>• Organize and maintain pre-production samples and component libraries, ensuring materials are accessible and up-to-date.</p><p>• Assist in the creation and management of molds, collaborating with design and manufacturing partners to meet specifications.</p><p>• Proactively address challenges, communicate effectively across teams, and maintain a solutions-oriented approach.</p>
  • 2026-03-23T22:13:41Z
Sr. AWS Data Engineer
  • Torrance, CA
  • onsite
  • Temporary
  • 60.00 - 62.00 USD / Hourly
  • <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>
  • 2026-04-07T19:34:10Z