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>***Please email Valerie Nielsen for immediate response*** </strong></p><p><br></p><p><strong>Job Title:</strong> Data Engineer</p><p> <strong>Location:</strong> West Los Angeles, CA (Onsite)</p><p> <strong>Salary:</strong> $150,000 Base + Bonus</p><p><strong>Overview</strong></p><p> We are seeking a <strong>Data Engineer</strong> to join our team onsite in <strong>West Los Angeles</strong>. This role is ideal for someone early in their career who has strong technical fundamentals, enjoys working with data, and has curiosity around modern AI tools. The ideal candidate has a strong analytical mindset and enjoys solving complex data problems while building scalable pipelines and data models.</p><p><strong>Responsibilities</strong></p><ul><li>Build, maintain, and optimize data pipelines and ETL processes</li><li>Write efficient and scalable <strong>SQL and Python</strong> code for data transformation and analysis</li><li>Work with cloud data platforms in <strong>AWS or Azure</strong></li><li>Support data modeling, data warehouse development, and reporting pipelines</li><li>Collaborate with analytics and product teams to deliver clean, reliable datasets</li><li>Explore and leverage <strong>AI tools (e.g., Claude or similar)</strong> to improve workflows and productivity</li><li>Ensure data quality, performance, and scalability across systems</li></ul><p><br></p>
We are looking for a skilled Data Analyst to join our team in Los Angeles, California, on a long-term contract basis. This role offers an exciting opportunity to contribute to fraud detection and prevention efforts by leveraging advanced data analytics. You will play a pivotal role in analyzing complex datasets and providing actionable insights to support anti-fraud initiatives.<br><br>Responsibilities:<br>• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud.<br>• Develop and implement fraud analytics models to detect and prevent fraudulent activities.<br>• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports.<br>• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements.<br>• Utilize advanced data analysis techniques to enhance fraud detection processes.<br>• Prepare visualizations and presentations to communicate findings to stakeholders.<br>• Conduct thorough investigations into flagged transactions or activities and document findings.<br>• Support the development of automated tools and processes for fraud prevention.<br>• Stay updated on industry best practices and emerging technologies related to fraud analytics.<br>• Ensure compliance with regulatory requirements and company policies in all investigations.
<p>We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Execute manual QA testing activities in a weekly release cycle.</li><li>Perform thorough scope testing and regression testing for every release.</li><li>Conduct hands-on testing of Salesforce applications.</li><li>Test integrations with other platforms and validate APIs.</li><li>Create and expand test cases rooted in impacted functionality and new requirements.</li><li>Collaborate closely with developers, product managers, and business stakeholders to understand requirements, priorities, and areas affected by code changes.</li><li>Identify bugs early in the lifecycle before code reaches production.</li><li>Work independently with minimal supervision, proactively raising potential quality concerns.</li><li>Leverage tools such as Postman for API testing.</li><li>Document detailed defect reports and track issues to resolution.</li></ul>
<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>
We are looking for a skilled Systems Administrator to join our team in Irvine, California. This role is ideal for someone who thrives in a fast-paced environment and has a proactive approach to managing IT systems, resolving technical issues, and supporting organizational operations. The successful candidate will play a key role in ensuring seamless system performance and user satisfaction across various platforms.<br><br>Responsibilities:<br>• Oversee daily IT systems administration tasks, including user account provisioning, access management, and application permission updates.<br>• Provide timely support by addressing IT tickets and escalating more complex issues as needed.<br>• Troubleshoot and resolve system-related problems to ensure optimal functionality of business applications.<br>• Facilitate employee onboarding and offboarding processes by setting up or deactivating accounts and coordinating with HR for smooth transitions.<br>• Administer and maintain collaboration tools like SharePoint, shared drives, and shared inboxes, ensuring proper access controls and organization.<br>• Act as a liaison between internal teams and Managed Service Providers (MSPs), monitoring service quality and ensuring timely resolution of issues.<br>• Manage mobile devices by overseeing provisioning, upgrades, inventory tracking, and resolving carrier-related issues.<br>• Prepare and review invoices for IT vendors and carriers, ensuring accuracy before approval and assisting in tracking IT expenses.<br>• Support security and compliance activities, including conducting access reviews and enforcing IT policies.<br>• Provide technical assistance to various departments, addressing operational support needs and resolving ad hoc requests.