<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>**** 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 skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.</p><p>• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.</p><p>• Create and maintain ETL processes to ensure data integrity and accessibility.</p><p>• Manage and monitor large-scale data processing systems, ensuring seamless operation.</p><p>• Design and deploy solutions for real-time data streaming using Apache Kafka.</p><p>• Perform advanced data analytics to support business decision-making.</p><p>• Troubleshoot and resolve issues related to data infrastructure and applications.</p><p><br></p>
<p>We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.</p><p>If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</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 Southern California. In this role, you will take charge of analyzing complex datasets to derive actionable insights and support critical business decisions within the automotive industry. You will collaborate across teams to ensure data accuracy and streamline workflows while leveraging your expertise in advanced analytics and cloud-based platforms.</p><p><strong>What will this person be working on</strong></p><p>As a Data Analyst / CDP Developer, the candidate will support the customer data platform, improve data quality, implement scalable data solutions, and address end‑to‑end data challenges. This role requires advanced SQL development, CDP integration, pipeline operations, and troubleshooting across large‑scale datasets. The ideal candidate is highly analytical, detail‑oriented, and thrives in a fast‑paced, cross‑functional environment</p><p><strong>Responsibilities:</strong></p><p>• Analyze large-scale datasets to uncover trends, validate data quality, and provide insights that drive business strategies.</p><p>• Develop and optimize advanced queries using tools like Presto, Hive, and NoSQL to support data operations.</p><p>• Utilize Python for data processing, automation, and workflow development to enhance system functionality.</p><p>• Apply cloud data architecture principles within platforms such as AWS to improve data management.</p><p>• Conduct exploratory data analysis to identify anomalies, validate assumptions, and meet stakeholder needs.</p><p>• Document data processes, workflows, and business rules in platforms such as Confluence to ensure clarity and consistency.</p><p>• Collaborate with cross-functional teams, including engineering, marketing, and subject matter experts, to define and refine data requirements.</p><p>• Operate workflow orchestration tools like Digdag and TD Workflows to manage data pipelines and scheduled tasks.</p><p>• Implement and monitor data quality frameworks to ensure reliable data validation and system observability.</p><p>• Adhere to compliance and privacy standards while maintaining best practices for version control and CI/CD processes.</p>
<p>We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.</p><p>• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.</p><p>• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.</p><p>• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.</p><p>• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.</p><p>• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.</p><p>• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.</p><p>• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.</p><p>• Provide historical data insights and predictive analysis to support campaign planning.</p><p>• Ensure compliance with industry regulations and internal standards in all data management and reporting activit</p>
<p><strong>Lead Data Architect / Senior Data Modeler</strong></p><p><strong>Location:</strong> Onsite in Burbank, CA (4 days/week, Mon–Thu)</p><p><strong>Team:</strong> Studio Technology – Data Services</p><p><br></p><p><strong>About the Role</strong></p><p>The Studio Technology group at Walt Disney Studios empowers filmmakers, analysts, and business partners with scalable, secure, and innovative data solutions. As part of the Data Services team, you will shape how the Studio builds, organizes, and delivers data — from financial systems to marketing analytics to consumer engagement products.</p><p>We are looking for a Lead Data Architect whose primary passion is data modeling and data architecture, not software architecture. This person lives and breathes semantic models, dimensional design, medallion-layer structuring, and data-as-a-product principles. The ideal candidate is doing this work hands-on today and has done it consistently in recent roles — this is their core craft, not an adjacent skill.</p><p><br></p><p><strong>What You’ll Do (Day-to-Day)</strong></p><p>● Partner with business stakeholders and product managers to understand data requirements and translate them into scalable data strategies and architecture.</p><p>● Design and own semantic models, dimensional models, entity definitions, and medallion-layer data structures (Bronze/Silver/Gold).</p><p>● Determine what gets built where and why, ensuring consistent modeling patterns across projects and data domains.</p><p>● Define and implement data-as-a-product approaches, including domain boundaries, ownership models, SLAs, and documentation standards.</p><p>● Work closely with data engineers to guide how assets should be built, structured, and optimized.</p><p>● Establish and maintain data standards, governance practices, naming conventions, and documentation for modeling and architecture.</p><p>● Provide technical leadership on data modeling best practices across teams, including coaching junior members.</p><p>● Evaluate modern data technologies and recommend tools that improve modeling consistency, performance, and quality.</p><p>● Collaborate with analytics, BI, and data science teams to design models that support reporting, ML/AI workloads, and cross-domain analytics.</p>
<p>We are looking for a skilled SQL Developer to join our clients team in Anaheim, California. In this role, you will design and optimize database structures, develop efficient data pipelines, and create reliable reports and dashboards to support organizational goals. The ideal candidate will have a strong background in database management and programming, with the ability to ensure data integrity and high performance across all systems.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement advanced database structures, stored procedures, and queries to support organizational needs.</p><p>• Optimize data transfer processes and ensure minimal latency when moving data between production systems and the data warehouse.</p><p>• Design and generate automated and on-demand reports for both internal stakeholders and external clients.</p><p>• Perform database performance tuning, including managing indexes and maintenance plans to ensure optimal efficiency.</p><p>• Maintain and manage the data warehouse to support reliable and scalable data storage solutions.</p><p>• Collaborate with project leaders and stakeholders to ensure database solutions align with business objectives.</p><p>• Work closely with vendors and IT teams to ensure databases are backed up, replicated, and maintained effectively.</p><p>• Conduct error handling, transaction rollbacks, and nested procedure creation to enhance database reliability.</p><p>• Utilize ETL processes to transform and load data accurately and efficiently.</p><p>• Evaluate and integrate products to align with the organization's data strategy.</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.
<p>Data Manager</p><p> Downtown Los Angeles (On-Site)</p><p> Compensation: Up to $160,000</p><p><br></p><p>This is a high-impact leadership role responsible for transforming how data is defined, managed, and leveraged across the business.</p><p><br></p><p>As Data Manager, you will own the enterprise data roadmap and serve as a strategic partner to leadership across e-commerce, supply chain, retail, customer insights, product development, and buying/planning.</p><p>You will play a critical role in:</p><ul><li>Establishing a single source of truth across departments</li><li>Improving data integrity and governance</li><li>Migrating the organization away from spreadsheet-heavy workflows</li><li>Building scalable systems and infrastructure to deliver faster, more reliable insights</li><li>Elevating analytics maturity across all functional teams</li></ul><p>This role combines hands-on technical execution with strategic leadership and cross-functional influence.</p><p><br></p><p>What You’ll Do</p><p>B<strong>usiness Partnership & Insights</strong></p><ul><li>Collaborate with stakeholders across e-commerce, supply chain, retail, customer insights, and merchandising</li><li>Translate ambiguous business questions into structured data problems</li><li>Deliver descriptive, predictive, and prescriptive insights that drive measurable business impact</li><li>Present findings through clear data storytelling that influences decision-making</li></ul><p><strong>Data Strategy & Infrastructure</strong></p><ul><li>Build and scale systems that ensure high product data integrity</li><li>Reduce reliance on spreadsheets by implementing more powerful, sustainable solutions</li><li>Leverage modern data platforms such as BigQuery, Looker, and NetSuite Analytics Warehouse</li><li>Define and enforce governance, master data management, and reporting standards</li></ul><p><strong>Execution & Leadership</strong></p><ul><li>Develop and execute a forward-looking data roadmap</li><li>Identify structural improvements to accelerate insight delivery</li><li>Increase speed and quality of execution across data initiatives</li><li>Raise analytics capability and technical acumen across teams</li></ul><p>If interested, apply now and direct message Reid Gormly on LinkedIN.</p>