<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis for a global finance firm. This role is fully remote. This role requires someone with strong attention to detail who excels in data reconciliation, fraud investigation, and analytics. You will play a key role in analyzing data for accuracy and identifying potential discrepancies or fraudulent activities.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Conduct regular account reconciliations to ensure data consistency and accuracy.</p><p>• Investigate suspected fraudulent activities using advanced analytics tools.</p><p>• Perform in-depth data analysis to identify trends and anomalies.</p><p>• Utilize VLOOKUP and other Excel functions to organize and interpret complex datasets.</p><p>• Collaborate with cross-functional teams to address data discrepancies and improve processes.</p><p>• Develop and implement anti-fraud strategies based on identified risks.</p><p>• Maintain detailed documentation of findings and reconciliation processes.</p><p>• Provide actionable insights to support decision-making and enhance operational efficiency.</p><p>• Ensure compliance with relevant regulations and standards during data analysis and investigations.</p>
We are looking for an experienced Software Engineer to develop and maintain applications within the Symitar platform, contributing to the enhancement of our core banking systems. This role requires a proactive approach to creating tailored solutions that align with business needs while ensuring system performance and security compliance.<br><br>Responsibilities:<br>• Create and manage Symitar PowerOn scripts, batch jobs, and integrations to meet operational objectives.<br>• Support system upgrades and troubleshoot issues to ensure seamless functionality.<br>• Work closely with stakeholders to gather requirements and deliver customized solutions.<br>• Design, generate, and maintain reports using Symitar Quest and associated tools.<br>• Monitor and optimize system performance while ensuring data integrity and security standards.<br>• Provide ongoing production support and participate in the on-call rotation as required.<br>• Collaborate on system enhancements and ensure compatibility with core banking processes.