<p><strong>***For immediate consideration, please message Ali Ferber (Scott) on LinkedIn with your updated resume***</strong></p><p><br></p><p>Functional Role:<strong> </strong>Senior Business Analyst</p><p>Salary Range: $130,000-150,000</p><p>Onsite in Beverly Hills, CA</p><p><br></p><p>Our client is looking for a skilled Business Systems Analyst to join their team in Beverly Hills, California. In this role, you will bridge the gap between business needs and technology solutions, ensuring that requirements are effectively translated into actionable plans. This position offers an exciting opportunity to work with cross-functional teams and contribute to the optimization of business processes.</p><p><br></p><p>Responsibilities:</p><p>· Administration and strategic development of the NetSuite ERP platform, ensuring alignment with business goals. Knowledgeable in javascript, suitescript, html, ccs, workflows, saved searches, freemarker are pluses.</p><p>· Act as a senior advisor to Retail, Finance, and Operations teams, translating complex business needs into effective system solutions.</p><p>· Support and enhance retail IT systems, including POS, ERP, productivity suite and system integrations.</p><p>· Drive process improvement initiatives and identify opportunities for automation and system optimization.</p><p>· Manage cross-functional projects involving system enhancements, third-party integrations, and data migrations.</p><p>· Collaborate with vendors to ensure the latest technologies are reviewed for business compatibility.</p>
<p><strong>***For immediate consideration, please message Ali Ferber (Scott) on Linkedin with your updated resume***</strong></p><p><br></p><p>Functional Role: NetSuite Business Systems Analyst (Finance or Operations focused)</p><p>Onsite in Downtown Los Angeles</p><p>Salary: $130,000-155,000 </p><p><br></p><p>We are seeking a <strong>Business Systems Analyst</strong> with strong NetSuite expertise to join our client's growing team. This role will be instrumental in supporting and enhancing their technology landscape within a fast-paced retail environment. You will serve as the bridge between business stakeholders and technical teams, driving implementations and integrations of NetSuite with other systems, while ensuring processes across finance, operations, and logistics are efficient and scalable.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with finance, operations, and logistics teams to analyze business requirements and translate them into system solutions.</li><li>Lead and support NetSuite implementations, configurations, and integrations with third-party systems.</li><li>Drive process improvements and automation to optimize workflows across retail operations.</li><li>Develop and maintain system documentation, workflows, and training materials.</li><li>Collaborate with cross-functional teams to ensure smooth project delivery and post-implementation support.</li><li>Monitor data quality and integrity, ensuring accurate reporting and compliance.</li><li>Serve as a subject matter expert for NetSuite and related business applications.</li></ul><p><br></p>
We are looking for a skilled Business Systems Analyst to join a dynamic team in Cypress, California, specializing in delivering impactful reporting and analytics solutions. In this role, you will collaborate with stakeholders to define business needs, create functional designs, and oversee the development of Power BI solutions powered by Snowflake and other advanced database systems. This position requires a proactive approach to problem-solving and a strong ability to translate complex requirements into actionable insights.<br><br>Responsibilities:<br>• Conduct interviews with stakeholders to gather requirements, identify business challenges, and define clear objectives for future solutions.<br>• Prioritize and manage requirements to ensure focus on high-impact deliverables while assessing risks across applications and processes.<br>• Translate business requirements into detailed functional specifications, ensuring alignment with technical constraints and enterprise goals.<br>• Design user-friendly BI and reporting solutions, incorporating best practices for user interface and performance optimization.<br>• Develop persuasive business cases that articulate challenges, expected benefits, and solution value to stakeholders.<br>• Ensure that solutions adhere to technology standards and collaborate with architecture teams to maintain consistency across projects.<br>• Lead testing and validation efforts by creating use cases, documenting results, and developing reusable test scenarios.<br>• Build actionable Power BI dashboards and reports, leveraging Snowflake and relational database systems to provide valuable insights.<br>• Partner with cross-functional teams to ensure seamless integration of solutions into existing systems and workflows.<br>• Monitor and evaluate solution performance, providing recommendations for continuous improvement based on user feedback and data analysis.
We are looking for an experienced Business Systems Analyst to join our team in Woodland Hills, California. In this role, you will support and enhance Microsoft Dynamics 365 Finance and Operations (D365 F& O) solutions, working closely with business stakeholders to identify and implement effective system improvements. The ideal candidate will bring strong expertise in financial management modules and thrive in a collaborative, fast-paced environment.<br><br>Responsibilities:<br>• Analyze and assess business requirements to determine feasibility and recommend optimal solutions within the D365 F& O platform.<br>• Provide ongoing support and troubleshooting for the D365 F& O system, addressing issues raised by business teams.<br>• Collaborate with stakeholders to gather, document, and refine business requirements for system enhancements.<br>• Design, develop, and test solutions within the Microsoft Dynamics 365 platform to meet organizational needs.<br>• Support monthly and quarterly system upgrades, ensuring smooth implementation and minimal disruption.<br>• Create and maintain documentation for system design, project specifications, and training materials.<br>• Partner with technical teams to develop and integrate solutions that align with business processes.<br>• Research and document transaction flows to enhance understanding and improve system processes.<br>• Identify opportunities for process improvement and implement best practices to optimize workflows.<br>• Manage time effectively, prioritize tasks, and communicate progress to stakeholders.
<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>Our team is seeking a highly experienced Software Engineer with deep expertise in front-end (ReactJS), back-end (NestJS), and mobile development (iOS - Swift, Android - Kotlin). The ideal candidate has a proven track record of building and scaling modern web and mobile applications and strong experience working within cloud environments and modern DevOps practices (AWS, Terraform, Kubernetes, PostgreSQL, Redis, RabbitMQ, S3, CloudFront).</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Architect, design, and implement scalable, secure, and maintainable solutions across web, mobile, and backend platforms.</li><li>Develop user-friendly web applications using ReactJS.</li><li>Build performant, robust native mobile apps in Swift (iOS) and Kotlin (Android).</li><li>Design and implement RESTful APIs and backend services using NestJS.</li><li>Lead DevOps initiatives leveraging AWS, Terraform, Kubernetes (EKS), S3, and CloudFront.</li><li>Manage data storage and retrieval with PostgreSQL, Redis, and integrate message queues via RabbitMQ.</li><li>Review code, mentor junior developers, and promote best practices in coding, testing, and automation.</li><li>Collaborate cross-functionally with design, product, and business stakeholders to deliver exceptional software solutions.</li><li>Participate in and drive continuous improvement for deployment, monitoring, and reliability.</li></ul>
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
<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><strong><em><u>Client </u></em></strong>= Nationally Recognized Leader in the Travel & Leisure Industry</p><p><strong><em><u>Job Title</u></em></strong> = Data Engineer (mid and senior level candidates being considered)</p><p><strong><em><u>Location</u> </em></strong>= San Fernando Valley</p><p><br></p>
<p>Our team is seeking an experienced Data Engineer to help architect, build, and optimize data infrastructure supporting enterprise decision making and advanced analytics. This position is ideal for hands-on professionals who excel in SQL, Python, and have proven expertise across enterprise cloud platforms, databases, and modern data engineering practices.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data pipelines that ingest, process, and transform structured and unstructured data.</li><li>Write advanced SQL queries—including complex joins, aggregations, window functions, and CTEs—to support ETL, data analysis, and migration projects.</li><li>Develop, optimize, and productionize Python scripts for data movement and validation using vanilla Python; familiarity with PySpark is a plus.</li><li>Collaborate across teams to deliver robust APIs and services for data integration with frontend (React, Angular, Vue) and backend (Node.js, Express) frameworks.</li><li>Architect and maintain data models and schemas, ensuring alignment with business requirements and efficient data retrieval.</li><li>Manage production-level SQL (e.g., SQL Server) and NoSQL (e.g., MongoDB) databases; ensure data quality through continuous monitoring and rigorous testing.</li><li>Deploy and manage automated ETL pipelines and schema migrations using Azure Data Factory, Microsoft Fabric, or comparable technologies.</li><li>Continuously improve performance through query optimization and efficient use of data structures (lists, dictionaries, sets) in Python.</li><li>Implement agile methodologies, continuous delivery, and DevOps best practices for reliable and scalable data infrastructure.</li><li>Enforce rigorous data quality management and automated testing strategies to ensure accuracy and reliability of data assets.</li></ul><p><br></p>
<p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Calabasas, CA (Fully Remote if outside 50 miles)</p><p> <strong>Compensation:</strong> $140K–$160K </p><p> <strong>Reports to:</strong> Director of Data Engineering</p><p>Our entertainment client is seeking a <strong>Senior Data Engineer</strong> to design, build, and optimize enterprise data pipelines and cloud infrastructure. This hands-on role focuses on implementing scalable data architectures, developing automation, and driving modern data engineering best practices across the company.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and maintain ELT/ETL pipelines in Snowflake, Databricks, and AWS.</li><li>Build and orchestrate workflows using Python, SQL, Airflow, and dbt.</li><li>Implement medallion/lakehouse architectures and event-driven pipelines.</li><li>Manage AWS services (Lambda, EC2, S3, Glue) and infrastructure-as-code (Terraform).</li><li>Optimize data performance, quality, and governance across systems.</li></ul><p>For immediate consideration, direct message Reid Gormly on Linkedin and Apply Now!</p>
We are looking for a skilled Data Engineer to join our team in Los Angeles, California. This role focuses on designing and implementing advanced data solutions to support innovative advertising technologies. The ideal candidate will have hands-on experience with large datasets, cloud platforms, and machine learning, and will play a critical role in shaping our data infrastructure.<br><br>Responsibilities:<br>• Develop and maintain robust data pipelines to ensure seamless data extraction, transformation, and loading processes.<br>• Design scalable architectures that support machine learning models and advanced analytics.<br>• Collaborate with cross-functional teams to deliver business intelligence tools, reporting solutions, and analytical dashboards.<br>• Implement real-time data streaming solutions using platforms like Apache Kafka and Apache Spark.<br>• Optimize database performance and ensure efficient data storage and retrieval.<br>• Build and manage resilient data science programs and personas to support AI initiatives.<br>• Lead and mentor a team of data scientists, machine learning engineers, and data architects.<br>• Design and implement strategies for maintaining large datasets, ensuring data integrity and accessibility.<br>• Create detailed technical documentation for workflows, processes, and system architecture.<br>• Stay up-to-date with emerging technologies to continuously improve data engineering practices.
