<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>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
<p><strong>Job Title:</strong> Software Engineer</p><p><strong>Employment Type:</strong> 52 Week Contract </p><p><strong>Location:</strong> Glendale, CA (Hybrid) </p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking a skilled <strong>Software Engineer</strong> to join our dynamic team and contribute to the development of media platforms, applications, and shared services. This role is integral to designing, building, testing, and deploying software solutions that support media fulfillment and content supply chain operations.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Software Development:</strong> Design, develop, and deploy scalable, high-quality software solutions using best practices in coding standards, architecture, and system reliability.</li><li><strong>AWS Expertise:</strong> Utilize AWS tools and technologies to build and maintain robust applications.</li><li><strong>Collaboration:</strong> Work closely with software engineers, product owners, and cross-functional teams including security and infrastructure.</li><li><strong>Agile Practices:</strong> Participate in agile scrum processes, including prioritization and estimation of work.</li><li><strong>Continuous Learning:</strong> Stay current with emerging technologies, industry trends, and best practices.</li></ul><p> <strong>Focus Areas</strong></p><ul><li>Identity and Access Management services</li><li>Building reusable B2B REST APIs</li><li>Database integration and management</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 a highly skilled Data Integration Engineer to join our team in Santa Monica, California. This role involves designing and implementing robust data integration solutions while collaborating across departments to meet business needs. As this is a long-term contract position, we seek candidates who can bring expertise in backend systems and cloud-based analytics to drive impactful results.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement backend data integration solutions to support organizational needs.</p><p>• Collaborate with HR and finance teams to understand requirements and ensure smooth data processes.</p><p>• Manage data extraction, transformation, and loading (ETL) tasks to maintain clean and accessible datasets.</p><p>• Provide expertise in Oracle Analytics Cloud to enhance reporting and analytics capabilities.</p><p>• Work with public sector data systems to ensure compliance and efficiency.</p><p>• Optimize data pipelines using tools such as Apache Spark, Hadoop, and Kafka.</p><p>• Facilitate seamless application and cloud integrations across enterprise systems.</p><p>• Support a continuous integration environment to improve development and deployment processes.</p><p>• Troubleshoot and resolve issues related to backend data systems and integrations.</p><p>• Ensure data management best practices are followed for accuracy and security.</p>
<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 Senior Ansible Automation Engineer to join our team on a long-term contract basis. In this role, you will design and implement robust automation solutions for Azure-based Windows and Linux workloads, ensuring seamless integration and adherence to industry standards. You will collaborate with cross-functional teams to drive automation strategies that enhance efficiency, reduce manual processes, and ensure compliance with security and governance policies. This position is located in Woodland Hills, California.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain reusable, modular Ansible roles and playbooks tailored for both Windows Server and Linux environments.</p><p>• Implement enterprise-grade OS hardening and security baselines, ensuring compliance with industry standards.</p><p>• Automate the deployment and validation of third-party agents, such as Microsoft Defender, Automox, Tenable, and Zabbix.</p><p>• Build scalable Ansible structures, including tasks, handlers, variables, and requirements files, to support consistent automation workflows.</p><p>• Integrate Ansible automation with Azure VM provisioning, extensions, and policy-driven onboarding processes.</p><p>• Ensure compatibility of automation workflows with Azure marketplace images and hardened configurations.</p><p>• Design idempotent and self-healing automation solutions that include rigorous testing and validation strategies.</p><p>• Collaborate with internal teams to align automation practices with security standards and cloud governance policies.</p><p>• Contribute to Git repository management, ensuring version control and documentation for all automation libraries.</p><p>• Participate in code reviews and improve workflows to maintain high-quality automation practices.</p>
<p><strong>Senior Front-End Engineer (Hybrid – West LA)</strong></p><p> <strong>Compensation:</strong> Up to $165K + bonus & benefits</p><p>We’re seeking a <strong>Senior Front-End Engineer</strong> to drive modern UI development for cloud-based business applications. This hybrid role (3 days onsite in West LA) will work closely with product, design, and offshore teams to deliver scalable, high-quality, and user-centric solutions.</p><p><strong>What You’ll Do:</strong></p><ul><li>Lead front-end architecture and development with Angular and modern web technologies.</li><li>Collaborate across teams to design and implement cloud-based solutions.</li><li>Ensure application performance, scalability, and best practices in code quality.</li><li>Mentor developers and champion user experience through intuitive design.</li><li>Troubleshoot issues and drive improvements through CI/CD and DevOps practices.</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIN</p><p><br></p><p><strong>Why Join:</strong></p><ul><li>Competitive salary up to $165K + bonus.</li><li>Hybrid schedule in West LA.</li><li>Strong career growth opportunities and professional development support.</li><li>Comprehensive benefits: medical, dental, vision, 401K with match, PTO, and more.</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.
<p><strong><u>Data Engineer</u></strong></p><p><strong>Onsite 4x week in El Segundo</strong></p><p><strong>$130K - $160K + benefits</strong></p><p>We are looking for an experienced Data Engineer to join our dynamic team in El Segundo, California. In this role, you will play a key part in designing, developing, and optimizing data pipelines and architectures to support business operations and analytics. This position offers the opportunity to work on cutting-edge technologies, including AI and machine learning applications.</p><p><br></p><p>Responsibilities:</p><p>• Develop, test, and maintain scalable data pipelines and architectures to support business intelligence and analytics needs.</p><p>• Collaborate with cross-functional teams to integrate data from diverse sources, including D365 Commerce and Adobe Experience Platform.</p><p>• Utilize Python, PySpark, and Azure data services to transform and orchestrate datasets.</p><p>• Implement and manage Kafka-based systems for real-time data streaming.</p><p>• Ensure compliance with data governance, security, and privacy standards.</p><p>• Optimize data storage solutions, leveraging medallion architecture and modern data modeling practices.</p><p>• Prepare datasets for AI/ML applications and advanced analytical models.</p><p>• Monitor, troubleshoot, and improve the performance of data systems.</p><p>• Design semantic models and dashboards using Power BI to support decision-making.</p><p>• Stay updated on emerging technologies and best practices in data engineering.</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>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>Machine Learning Engineer (Mid-Senior Level)</strong></p><ul><li><strong>Compensation</strong>: $150K-$175K salary.</li><li><strong>Work Environment</strong>: Hybrid flexibility in a West LA location (2-3 days onsite).</li></ul><p>We are looking for a skilled Machine Learning Engineer to join our team in El Segundo, California. In this role, you will design, develop, and deploy cutting-edge machine learning models and artificial intelligence solutions. You will work closely with cross-functional teams to identify opportunities for AI integration and ensure the delivery of impactful, scalable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced machine learning solutions to address business challenges and drive innovation.</p><p>• Develop, train, and fine-tune machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn.</p><p>• Collaborate with cross-functional teams to identify opportunities for integrating AI into business processes.</p><p>• Research and apply the latest advancements in AI and machine learning to enhance existing systems and create new solutions.</p><p>• Deploy and monitor machine learning models in production environments, ensuring optimal performance and scalability.</p><p>• Conduct data exploration, preprocessing, and feature engineering on large-scale datasets to improve model accuracy.</p><p>• Work with cloud platforms such as Google Cloud Platform and AWS for scalable AI/ML implementation.</p><p>• Provide mentorship and guidance to less experienced team members, fostering a culture of knowledge sharing and collaboration.</p><p>• Ensure high-quality coding standards and participate actively in code reviews.</p><p>• Stay updated on industry trends and best practices to maintain the organization's competitive edge in AI.</p>
<p><strong>Senior Backend Engineer (.NET)</strong></p><p> <strong>Compensation:</strong> $140,000–$160,000 (up to $170,000 for exceptional candidates)</p><p> <strong>Schedule:</strong> 9:00 AM – 6:00 PM</p><p><br></p><p>We are seeking a highly skilled <strong>Senior Backend Engineer</strong> with deep experience in .NET to support a major brand overhaul and full site rewrite. This is a high-impact role with significant new development work, plus some ongoing maintenance and optimization for high-traffic, consumer-facing platforms.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and enhance backend services, APIs, and core application functionality using .NET and .NET Core</li><li>Contribute to a complete site modernization and large-scale platform rewrite</li><li>Support new development initiatives as well as ongoing maintenance</li><li>Collaborate with engineering leadership, product teams, and cross-functional partners</li><li>Optimize performance, improve scalability, and ensure high levels of reliability</li><li>Participate in architectural discussions and code reviews</li></ul><p>If you're a backend engineer who thrives in a fast-paced environment and enjoys building scalable modern systems, we’d love to speak with you. This is an opportunity to join a forward-thinking engineering team at a pivotal moment in their platform transformation.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
We are looking for an experienced Information Architect to join our team on a long-term contract in Glendale, California. In this role, you will leverage your expertise to design and implement innovative solutions that enhance business operations and drive technological advancements. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate across various teams to deliver impactful results.<br><br>Responsibilities:<br>• Collaborate with stakeholders to identify needs and conceptualize scalable solutions using Generative AI technologies.<br>• Develop and implement AI-driven applications, ensuring optimal performance and alignment with business objectives.<br>• Architect end-to-end solutions, including model selection, training approaches, and deployment strategies.<br>• Conduct thorough evaluations of emerging AI technologies to assess feasibility and applicability.<br>• Lead testing and optimization processes to refine the functionality and efficiency of AI applications.<br>• Provide strategic guidance to align AI solutions with organizational goals and industry standards.<br>• Execute proof-of-concept projects to validate AI solutions and their impact.<br>• Optimize database queries and ensure seamless integration with existing systems.<br>• Oversee the implementation of ethical considerations in all AI-related projects.<br>• Collaborate across teams to ensure seamless development and deployment of solutions.
