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5 results for Data Migration Specialist in Downey, CA

PLM Data Migration Specialist

Los Angeles, CA
onsite
Temporary / Contract
28 - 30 USD / Hourly
We are seeking a detail-oriented PLM Data Migration Specialist to support a large-scale initiative focused on consolidating and migrating product and packaging data into a Product Lifecycle Management (PLM) platform. This role will work closely with cross-functional teams to ensure data accuracy, consistency, and integrity throughout the migration process.This is a hands-on, project-based opportunity ideal for a candidate with experience in data migration, PLM systems, and managing large, complex datasets within a fast-paced environment. Key Responsibilities<ul><li>Conduct audits of existing data sources, including spreadsheets, shared repositories, specifications, and internal databases, to identify data quality issues, inconsistencies, and gaps.</li><li>Cleanse, standardize, and validate product, material, and packaging data to align with PLM system requirements and established naming conventions.</li><li>Map, transform, and migrate data from legacy sources into the PLM platform, ensuring accuracy and completeness.</li><li>Collaborate with sourcing, packaging, product development, data management teams, and external partners to establish data standards and migration priorities.</li><li>Track project milestones, maintain migration logs, and provide status updates to stakeholders.</li><li>Perform quality assurance reviews and post-migration validation to ensure data integrity and system usability.</li><li>Create and maintain documentation including data mapping guides, migration processes, and standard operating procedures (SOPs).</li><li>Serve as a resource for data-related questions and proactively identify risks, issues, and process improvements throughout the project lifecycle.</li></ul>
2026-08-13T00:00:00Z

Data Entry Specialsit

Park La Brea, CA
onsite
Temporary / Contract
23 - 26 USD / Hourly
Our client in the Mid-Wilshire area is seeking a detail-oriented Data Entry Clerk for a contract-to-hire opportunity. This role is ideal for someone who is highly accurate, efficient, and comfortable handling large volumes of information in a fast-paced environment. The Data Entry Clerk will be responsible for entering, updating, and maintaining data in company systems while ensuring a high level of accuracy and confidentiality. Based on general knowledge.Key Responsibilities:<ul><li>Enter, verify, and update data into internal databases and systems with speed and accuracy. Based on general knowledge.</li><li>Review source documents for completeness and accuracy before inputting information. Based on general knowledge.</li><li>Maintain organized digital and paper records as needed. Based on general knowledge.</li><li>Identify and correct data discrepancies or errors promptly. Based on general knowledge.</li><li>Generate basic reports and assist with spreadsheet tracking in Excel. Based on general knowledge.</li><li>Perform routine administrative support tasks related to data management. Based on general knowledge.</li><li>Work collaboratively with team members and other departments to ensure information is current and accurate. Based on general knowledge.</li></ul>
2026-08-07T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Data Engineer Company OverviewA leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence. Role SummaryThe Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms. Key Responsibilities<ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul>Additional Details<ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
2026-08-20T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary / Contract
35.625 - 41.25 USD / Hourly
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders. Responsibilities: • Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud. • Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up. • Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies. • Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses. • Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response. • Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review. • Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
2026-07-29T00:00:00Z

Data Analyst / CDP Developer

Burbank, CA
onsite
Temporary / Contract
50 - 55 USD / Hourly
We are looking for a Data Analyst / CDP Developer to join a great organization in Southern California. This Long-term Contract position focuses on transforming customer data into reliable insights, strengthening platform performance, and supporting data-driven decisions across cross-functional teams. The role is ideal for someone who combines strong analytical thinking with hands-on development skills in SQL, Python, and cloud-based data environments. You will work onsite four days per week while partnering with technical and business stakeholders to improve data quality, workflow stability, and reporting accuracy. Responsibilities:• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.
2026-08-25T00:00:00Z