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4 results for Storage Engineer in Burbank, CA

Data Engineer
  • Woodland Hills, CA
  • onsite
  • Permanent
  • 140000 - 175000 USD / Yearly
  • <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&#39;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>
  • 2026-02-23T00:00:00Z
Platform Engineer
  • Beverly Hills, CA
  • remote
  • Temporary
  • 70 - 70 USD / Hourly
  • <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>
  • 2026-03-07T00:00:00Z
Senior Data Engineer
  • Playa Vista, CA
  • onsite
  • Permanent
  • 165000 - 200000 USD / Yearly
  • <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>
  • 2026-03-13T00:00:00Z
Senior Data Engineer
  • Glendale, CA
  • onsite
  • Temporary
  • 80 - 87 USD / Hourly
  • <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>
  • 2026-03-05T00:00:00Z