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>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>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>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>
<p>We are looking for a skilled QA Analyst to join our team in Southern California, as part of a long-term contract position. In this role, you will play a key part in ensuring the quality and performance of digital sales platforms by leveraging both manual and automated testing methods. Collaborating with cross-functional teams, you will contribute to delivering a seamless digital purchasing experience for customers while supporting and enhancing testing frameworks and methodologies.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate the functionality and integrations of the digital retailing platform to ensure optimal performance.</p><p>• Develop and execute comprehensive test strategies, plans, cases, and automated scripts based on business requirements.</p><p>• Collaborate with developers, designers, and product managers to ensure alignment with quality standards.</p><p>• Lead and support testing team members in creating and executing test cases and procedures.</p><p>• Present and socialize testing approaches, metrics, and results to relevant teams and stakeholders.</p><p>• Promote the adoption of industry-standard testing practices and continuous improvement within the testing framework.</p><p>• Prepare and manage test data while ensuring the readiness of test environments for execution.</p><p>• Consolidate and communicate QA deliverables, including defect reports, test results, and coverage metrics.</p><p>• Participate in agile activities such as backlog grooming, sprint reviews, and retrospectives to refine testing processes.</p><p>• Work closely with performance and automation teams to identify scenarios and enhance testing capabilities.</p>
<p>We are looking for an experienced Informatica and AWS Data Engineer to join our team in Southern California. In this long-term, multi-year position, you will play a pivotal role in configuring and managing Informatica Cloud Catalog, Governance, and Marketplace systems, ensuring seamless integration with various platforms and tools. This opportunity is ideal for professionals with a strong background in data governance, security, and compliance, as well as expertise in cloud technologies and database systems.</p><p><br></p><p>Responsibilities:</p><p>• Configure and implement role-based and policy-based access controls within Informatica Cloud Catalog and Governance systems.</p><p>• Develop and set up connections for diverse platforms, including mainframe databases, cloud services, S3, Athena, and Redshift.</p><p>• Troubleshoot and resolve issues encountered during connection creation and data profiling.</p><p>• Optimize performance by identifying and addressing bottlenecks in profiling workflows.</p><p>• Configure and manage Cloud Marketplace integrations to enforce policy-based data protections.</p><p>• Review and communicate Informatica upgrade schedules, exploring new features and coordinating timelines with business and technical teams.</p><p>• Collaborate with infrastructure teams to establish clusters for managing profiling workloads efficiently.</p><p>• Support governance initiatives by classifying and safeguarding sensitive financial and customer data.</p><p>• Create and manage metadata, glossaries, and data quality rules across regions to ensure compliance with governance policies.</p><p>• Set up user groups, certificates, and IP whitelisting to maintain secure access and operations.</p>
<p>We are looking for a skilled Sr. Mainframe Systems SME to join our team in Southern California. In this long-term contract position, you will play a pivotal role in analyzing business requirements and driving the successful completion of various technical projects. The role requires onsite work four days/week.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with project managers and team leads to define and execute units of work, ranging from small enhancements to large-scale projects.</p><p>• Analyze business requirements and transform them into functional and detailed designs, ensuring alignment with project goals.</p><p>• Develop architectural solutions that meet application requirements while adhering to technology standards.</p><p>• Lead and conduct testing phases, including unit testing, integration testing, system testing, and user acceptance testing.</p><p>• Document processes, designs, and implementations to ensure clarity and accuracy throughout the project lifecycle.</p><p>• Provide regular status updates to project managers and team leads, ensuring transparency in project progress.</p><p>• Assist in the implementation and warranty phases of projects, ensuring smooth transitions and operational readiness.</p><p>• Collaborate across multiple disciplines to align technology strategies, standards, and roadmaps.</p><p>• Apply knowledge of Waterfall and Agile methodologies to optimize project workflows and outcomes.</p>
