<p><strong>Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment.</strong></p><p><br></p><p><strong>This role is onsite 4 days/week in Torrance, CA. </strong></p><p><br></p><p>This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.</p><p>This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for an experienced Info Sec Architect to join our team on a long-term contract basis in Los Angeles, California. This role involves safeguarding critical systems and networks while implementing robust security protocols to minimize risks. The ideal candidate will have a strong background in cloud technologies, firewall management, and cybersecurity strategies.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and maintain advanced firewall solutions, including Checkpoint and Cisco ASA, to protect network integrity.</p><p>• Evaluate and enhance cloud-based security frameworks to ensure the secure deployment and operation of services.</p><p>• Conduct regular security audits and vulnerability assessments to identify and mitigate risks.</p><p>• Configure, monitor, and troubleshoot Cisco technologies to optimize system performance and security.</p><p>• Develop and execute cybersecurity strategies to address potential threats and ensure compliance with industry standards.</p><p>• Collaborate with cross-functional teams to implement configuration management processes that streamline security operations.</p><p>• Perform AB testing to analyze the effectiveness of security measures and recommend improvements.</p><p>• Manage AWS technologies to strengthen cloud security and scalability.</p><p>• Provide expertise in cyber threat analysis and response to safeguard sensitive data.</p><p>• Document and maintain security protocols, procedures, and configurations for future reference.</p>
<p>Role Overview</p><p>This role is responsible for developing, enhancing, and maintaining enterprise analytics solutions, including dashboards, reporting assets, data models, and custom web applications used by operational and executive stakeholders. The position focuses on transforming complex data into actionable insights through scalable analytics solutions within an agile development environment.</p><p>The ideal candidate brings strong <strong>MicroStrategy expertise</strong>, modern <strong>data warehousing experience</strong>, and the ability to leverage <strong>AI‑assisted development tools</strong> to deliver high‑quality analytics products efficiently.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>MicroStrategy dashboards, reports, and semantic/data models</strong></li><li>Support and enhance <strong>custom analytics dashboards and web applications</strong> built with <strong>React</strong></li><li>Migrate select legacy reporting solutions to modern <strong>React‑based frameworks</strong></li><li>Perform <strong>data modeling, SQL development, and performance tuning</strong></li><li>Translate business and reporting requirements into technical specifications and analytics solutions</li><li>Use <strong>AI‑assisted coding tools</strong> (e.g., Cursor, Claude Code) to accelerate development, prototyping, and documentation while maintaining coding standards</li><li>Collaborate with technical leads and architects to adopt new tools, standards, and best practices</li><li>Optimize reporting performance across datasets, dashboards, and databases</li><li>Work effectively with <strong>remote and cross‑functional team members</strong></li></ul><p><br></p>
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>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><strong>Mid-Level Data Engineer (On-Site | Los Angeles, CA)</strong></p><p><em>Build systems that actually drive business decisions.</em></p><p><br></p><p>This is not a “maintain the pipeline and go home” kind of role.</p><p><br></p><p>We’re looking for a sharp, early-career Data Engineer who wants to operate close to the business, own meaningful projects end-to-end, and build systems that directly impact how decisions get made across an entire organization. You’ll join a small, high-performing team where your work won’t get buried—it will be seen, used, and relied on daily.</p><p><br></p><p>If you’re someone who enjoys solving messy problems, building from scratch, and working in a fast-paced, high-expectation environment, this is the kind of role where you’ll grow quickly.</p><p><br></p><p>What You’ll Do</p><ul><li>Design and build automated data systems (e.g., billing workflows, internal tools)</li><li>Create and maintain BI dashboards and reports using Python, Excel, and visualization tools</li><li>Write and optimize SQL queries and ETL pipelines for clean, reliable data flow</li><li>Analyze large datasets to uncover actionable insights and trends</li><li>Partner with stakeholders across the business to translate needs into technical solutions</li><li>Help improve data accessibility and usability across departments</li><li>Ensure data integrity and accuracy through audits and troubleshooting</li><li>Contribute to a growing data function with high visibility and ownership</li></ul><p>Why This Role Stands Out</p><ul><li>High ownership: You’ll build systems from the ground up, not just maintain them</li><li>Small team, big impact: Work directly with senior leadership and decision-makers</li><li>Growth opportunity: The team is expanding—this role can evolve quickly</li><li>Flexibility within intensity: While this is a high-performance environment, there’s trust and flexibility when needed</li></ul>
<p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>
<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>
<p>Are you a meticulous and detail-oriented Senior Accountant? As a Senior Accountant, you will be in charge of financial statement preparation and consolidation, account analysis and reconciliations, cash flow analysis, budgets and forecasting, audit preparation, and internal control maintenance and regulatory reporting. Our positions offer great long-term potential and stellar compensation and benefits packages. For immediate consideration apply today!</p><p><br></p><p>Financial Analysis:</p><p>· Conduct in-depth financial analysis to provide insights into the organization's financial performance.</p><p>· Analyze trends, variances, and key performance indicators to support strategic decision-making.</p><p>Month-End and Year-End Closing:</p><p>· Oversee the month-end and year-end closing processes.</p><p>· Ensure accurate and timely preparation of financial statements in compliance with accounting standards.</p><p>Financial Reporting:</p><p>· Prepare and present detailed financial reports for internal and external stakeholders.</p><p>· Communicate financial results, trends, and forecasts to senior management.</p><p>Budgeting and Forecasting:</p><p>· Collaborate with management in the development and monitoring of budgets.</p><p>· Assist in the forecasting process, providing financial projections and insights.</p><p>Supervision and Training:</p><p>· Supervise and mentor junior accounting staff</p><p>· Provide guidance on complex accounting issues and ensure the accuracy of their work.</p><p>Compliance and Audits:</p><p>· Ensure compliance with accounting principles, company policies, and regulatory requirements.</p><p>· Coordinate and support internal and external audits.</p><p>Process Improvement:</p><p>· Identify opportunities for process optimization and efficiency improvements within the accounting department.</p><p>· Implement changes to enhance the overall effectiveness of financial processes.</p><p><br></p><p><br></p><p><br></p>
<p><strong>Director of Customer Data Platforms (CDP)</strong></p><p>$180K - $230K + bonus</p><p><br></p><p><strong>Position Summary</strong></p><p>The Director of Customer Data Platforms (CDP) will provide vision, leadership, and technical direction for all aspects of customer data management, with a strong emphasis on identity resolution, compliance, and enabling best-in-class marketing and guest experiences. This individual will collaborate closely with marketing, sales, and guest experience teams—serving as their key partner for leveraging customer data to drive engagement, retention, and business growth. The role oversees a team of 10–20 direct and indirect reports and reports to the executive leadership team.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead strategy, development, and continuous improvement for customer data platforms and customer identity solutions.</li><li>Build and manage a high-performing team of data engineers, ensuring effective collaboration between technical talent and business stakeholders.</li><li>Drive the creation and maintenance of a complete, reliable “customer 360” or single source of truth supporting marketing, personalization, and guest experience use cases.</li><li>Champion solutions for identity resolution, deduplication, and entity matching, leveraging customer identifiers and PII-based approaches.</li><li>Design scalable data pipelines and architectures (e.g., ETL/ELT, data lakes/lakehouses), ensuring integration with cloud platforms like Databricks and Delta Lake as appropriate.</li><li>Ensure data privacy, security, and regulatory compliance (GDPR, CCPA, etc.) across all customer data initiatives.</li><li>Collaborate regularly (approx. 70%) with marketing teams to align data strategy with campaign, segmentation, and personalization needs; partner with sales and guest experience stakeholders to optimize the end-to-end customer journey.</li><li>Translate business requirements into actionable data engineering projects and deliver results on time and within budget.</li><li>Drive adoption of modern customer data platforms (e.g., Adobe Experience Platform, Segment, Tealium, etc.) and maximize their ROI.</li><li>Serve as the evangelist for customer data best practices and advanced analytics enablement across the organization.</li></ul><p><br></p>
<p>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.</p><p>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.</p><p><br></p><p>Key Responsibilities</p><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>