6 results for Datainformation Architect in Irvine, CA

Data Engineer

Playa Vista, CA
onsite
Permanent
150000 - 160000 USD / Yearly
***Please email Valerie Nielsen for immediate response*** Job Title: Data Engineer Location: West Los Angeles, CA (Onsite) Salary: $150,000 Base + BonusOverview We are seeking a Data Engineer to join our team onsite in West Los Angeles. 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.Responsibilities<ul><li>Build, maintain, and optimize data pipelines and ETL processes</li><li>Write efficient and scalable SQL and Python code for data transformation and analysis</li><li>Work with cloud data platforms in AWS or Azure</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 AI tools (e.g., Claude or similar) to improve workflows and productivity</li><li>Ensure data quality, performance, and scalability across systems</li></ul>
2026-04-01T00:00:00Z

Data Analyst

Los Angeles, CA
onsite
Temporary
38 - 44 USD / Hourly
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. Responsibilities: • Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud. • Develop and implement fraud analytics models to detect and prevent fraudulent activities. • Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports. • Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements. • Utilize advanced data analysis techniques to enhance fraud detection processes. • Prepare visualizations and presentations to communicate findings to stakeholders. • Conduct thorough investigations into flagged transactions or activities and document findings. • Support the development of automated tools and processes for fraud prevention. • Stay updated on industry best practices and emerging technologies related to fraud analytics. • Ensure compliance with regulatory requirements and company policies in all investigations.
2026-03-17T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary
28 - 32 USD / Hourly
We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery. Key Responsibilities:<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>
2026-04-02T00:00:00Z

Data Analyst

Glendale, CA
onsite
Temporary
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.
2026-03-26T00:00:00Z

Business Intelligence Developer (BI Developer)

Torrance, CA
onsite
Temporary
60 - 65 USD / Hourly
We are seeking an experienced Senior Business Intelligence Developer to design, develop, and support enterprise‑level reporting and analytics solutions. This role focuses on building high‑performance dashboards, semantic layers, and analytical datasets using Power BI, SAP BusinessObjects, and complex SQL across multiple database platforms.The ideal candidate has deep BI development experience, strong data modeling skills, and the ability to partner closely with business stakeholders, data engineering, and architecture teams to deliver accurate, scalable reporting solutions. Key Responsibilities<ul><li>Design, develop, and maintain enterprise BI reports, dashboards, and analytical solutions</li><li>Build advanced dashboards and data models using Power BI, including DAX and performance optimization</li><li>Design and support enterprise reporting solutions using SAP BusinessObjects</li><li>Partner with business stakeholders to gather, analyze, and document reporting and analytics requirements</li><li>Develop complex SQL queries, stored procedures, and optimized data retrieval logic</li><li>Perform backend data analysis across SQL Server, DB2, and Amazon Redshift databases</li><li>Design optimized datasets and semantic layers to support BI and analytics tools</li><li>Troubleshoot data discrepancies, reporting inconsistencies, and performance issues</li><li>Implement data validation and reconciliation logic to ensure reporting accuracy</li><li>Optimize database queries and stored procedures for high‑performance analytics workloads</li><li>Collaborate closely with Data Engineering and Architecture teams to align BI solutions with enterprise data platforms</li><li>Support production BI environments and resolve reporting‑related incidents</li></ul>
2026-03-27T00:00:00Z

Data Engineer / Machine Learning Engineer

Playa Vista, CA
onsite
Permanent
180000 - 220000 USD / Yearly
***For immediate response please email Valerie Nielsen*** Job Title: Machine Learning Engineer / Data Engineer Location: Culver City, CA (Onsite 4 days per week) Compensation: $200,000 Base + Bonus/Equity (if applicable)Overview We are seeking a Machine Learning Engineer / Data Engineer to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.The ideal candidate has experience building data and ML platforms used across an organization, and enjoys working at the intersection of data engineering, machine learning infrastructure, and production AI systems.Responsibilities<ul><li>Design and build scalable data and machine learning platforms used by multiple internal teams</li><li>Develop and maintain ML pipelines, feature stores, and training workflows</li><li>Build infrastructure supporting LLM-powered applications, including embeddings, vector search, and RAG pipelines</li><li>Develop systems for real-time decisioning, including pricing, personalization, and recommendation engines</li><li>Build and maintain experimentation platforms and A/B testing infrastructure</li><li>Optimize data pipelines and ML workflows for performance and scalability, including GPU-based training environments</li><li>Collaborate with product, engineering, and data teams to operationalize machine learning models in production</li></ul>
2026-04-01T00:00:00Z