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4 results for Cloud Computing Analyst in Burbank, CA

Data Analyst

Glendale, CA
onsite
Temporary / Contract
59.375 - 68.75 USD / Hourly
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. Responsibilities:• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.• Develop and implement fraud detection models and algorithms to enhance risk management.• Investigate suspicious transactions and activities to identify potential fraud cases.• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.• Monitor and refine anti-fraud systems based on emerging threats and trends.• Conduct research to stay informed about new fraud schemes and data analysis techniques.• Ensure data integrity and accuracy while working with sensitive information.• Provide actionable insights that help drive business decisions and improve operational efficiency.
2026-05-12T00:00:00Z

Oracle Integration Cloud Dev

Irvine, CA
remote
Temporary / Contract
95 - 110 USD / Hourly
We are looking for an Oracle Integration Cloud Dev to support a growing enterprise integration landscape in Irvine, California. This Long-term Contract position will focus on building and enhancing cloud-based integrations across Oracle SaaS environments, with an emphasis on reliable data movement and scalable interface design. The role works closely with HR and Finance technology stakeholders to strengthen data ownership models and deliver efficient, well-structured integration solutions. Responsibilities: • Design, develop, and maintain integration solutions primarily within Oracle Integration Cloud to connect Oracle SaaS applications and related enterprise platforms. • Partner with HR and Finance information systems teams to support data stewardship objectives and ensure integrations align with business ownership needs. • Create and optimize interfaces that move data accurately between source and target systems while supporting performance, reliability, and maintainability. • Contribute to the evolution of integration methods by reducing dependence on legacy extract and reporting-based approaches where appropriate. • Support a high-volume integration environment by monitoring existing interfaces, troubleshooting issues, and implementing enhancements as business demands grow. • Work across core Oracle Fusion Cloud modules and connected systems, including timekeeping-related interfaces that feed Oracle Time and Labor. • Produce technical documentation, mapping details, and development standards to support consistent delivery and long-term supportability. • Collaborate with cross-functional teams to test, deploy, and refine integrations while helping minimize reliance on older middleware tools such as Boomi.
2026-04-27T00:00:00Z

Data Engineer

Glendale, CA
onsite
Temporary / Contract
82 - 87 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. Responsibilities: • Develop, maintain, and optimize data pipelines to support the Core Data platform. • Create tools and services to enhance data discovery, governance, and privacy. • Collaborate with product managers, architects, and software engineers to ensure the success of data platforms. • Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions. • Establish and document best practices for pipeline configurations, naming conventions, and operational standards. • Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs). • Participate in agile and scrum ceremonies to improve collaboration and team processes. • Foster relationships with stakeholders to understand their needs and prioritize platform enhancements. • Maintain detailed documentation to support data governance and quality initiatives.
2026-05-11T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment. Responsibilities: • Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI. • Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments. • Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions. • Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization. • Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices. • Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth. • Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions. • Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business. • Administer BI platforms to maintain performance, reliability, and appropriate security controls. • Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
2026-05-11T00:00:00Z