<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>
We are looking for an experienced Platform / DevOps Engineer to join our team in Los Angeles, California. This role focuses on enhancing developer workflows, maintaining platform operations, and ensuring system observability to support production environments. As part of a long-term contract, you will play a key role in optimizing cloud resources, managing access controls, and troubleshooting issues across various tools and environments.<br><br>Responsibilities:<br>• Manage user access across Atlassian tools, Azure DevOps, GitHub, and other platforms, ensuring secure and compliant permissions.<br>• Process and oversee access requests using ServiceNow and internal workflows to maintain least-privilege access.<br>• Design, maintain, and troubleshoot CI/CD pipelines within Azure DevOps and GitHub Actions.<br>• Provide support for containerized applications using Docker and Kubernetes, including environment configuration.<br>• Collaborate with Systems Engineering teams to manage cloud resources and optimize configurations in Azure.<br>• Analyze system logs and metrics using Elastic tools to identify and resolve backend service issues.<br>• Investigate and troubleshoot issues related to server environments, databases, and backend services.<br>• Partner with engineering teams to identify root causes of system failures and implement preventive measures.<br>• Participate in incident response efforts and contribute to post-incident reviews and improvements.
<p><strong>For immediate response please message Valerie Nielsen on LinkedIn or email!</strong></p><p><br></p><p><strong>Job Title:</strong> Senior Data Engineer</p><p> <strong>Location:</strong> Hybrid – Westwood (Los Angeles, CA) near University of California, Los Angeles</p><p> <strong>Compensation:</strong> $175,000 – $185,000 base salary + 10% annual bonus</p><p> <strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data team in <strong>Westwood, CA</strong>. This role will focus on designing and building scalable data pipelines, supporting analytics and reporting initiatives, and improving data infrastructure across the organization.</p><p>The ideal candidate is highly experienced with <strong>Snowflake, dbt, Python</strong>, and modern data pipeline architecture, and enjoys working closely with analytics and business teams to deliver reliable, high-quality data. Experience integrating data from CRM platforms such as <strong>Salesforce</strong> is a strong plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines</strong> supporting analytics, reporting, and operational data needs</li><li>Build and optimize data models and transformations using <strong>dbt</strong> within a <strong>Snowflake</strong> data warehouse environment</li><li>Develop robust ETL/ELT workflows using <strong>Python</strong> and modern data engineering best practices</li><li>Collaborate with analytics teams to deliver clean, reliable datasets used in <strong>Power BI</strong> dashboards and reporting</li><li>Ensure data quality, reliability, and performance across the data platform</li><li>Optimize Snowflake warehouse performance and manage cost-efficient data storage and compute usage</li><li>Integrate data from internal and external systems, including CRM and SaaS platforms</li><li>Partner with stakeholders across engineering, product, and business teams to define data requirements and solutions</li><li>Maintain documentation and promote data engineering standards and best practices</li></ul><p><br></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>Robert Half is currently seeking a Platform Engineer (Azure, CI/CD, DevOps) for a reputable client located in the Los Angeles, CA area. This is a 100% REMOTE opportunity. Platform Engineer (Azure, CI/CD, DevOps) will join a small, high-impact engineering team responsible for maintaining and evolving the organization’s cloud platform and deployment infrastructure.</p><p><br></p><p>Location: Remote (U.S.)</p><p>Schedule: Monday–Friday, flexible hours with 3–4 hours overlap with Mountain Time</p><p>Duration: 6-Month Contract (Likely Extension)</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and optimize cloud platform infrastructure in Azure</li><li>Develop and support CI/CD pipelines for application deployments</li><li>Contribute to the team’s migration from Azure DevOps to GitHub</li><li>Implement and maintain automation and deployment workflows</li><li>Support engineers with platform tooling and infrastructure needs</li><li>Work through engineering backlog items and platform improvements</li></ul><p><br></p>
<p><strong>Senior Software Engineer</strong></p><p> <strong>Location:</strong> Fully Remote (U.S. Based) Must be US citizen or Green Card Holder</p><p> <strong>Compensation:</strong> $170,000 Base Salary + Benefits</p><p><br></p><p>About the Company</p><p>Our client is a <strong>rapidly growing technology company focused on building scalable commerce platforms and integrations</strong> used by consumer brands and digital retailers. Their engineering team specializes in <strong>API-driven architecture, cloud-native development, and modern JavaScript frameworks</strong> to power high-performance ecommerce systems.</p><p>They are investing heavily in <strong>automation, cloud infrastructure, and scalable integrations with leading commerce platforms</strong>, and are looking for a <strong>Senior Software Engineer</strong> who can help design and build backend services that power these systems.</p><p><br></p><p>Role Overview</p><p>The <strong>Senior Software Engineer</strong> will design and build <strong>scalable backend services and integrations for modern ecommerce platforms</strong>, with a strong focus on <strong>API-driven architecture and serverless cloud environments</strong>.</p><p>This role is ideal for someone who enjoys working with <strong>Node.js, cloud infrastructure, and high-performance APIs</strong>, and who has experience integrating with commerce platforms like <strong>Shopify</strong>. You will collaborate closely with product, engineering, and infrastructure teams to build systems that are <strong>reliable, scalable, and optimized for performance</strong>.</p><p><br></p><p><br></p>