<p><strong>Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
<p>Robert Half Management Resources is recruiting for a Procurement Analytics & AI Enablement Consultant to support a procurement-focused transformation effort to support our global entertainment client based in Los Angeles, California. This long-term hybrid contract opportunity is ideal for someone who can turn operational data into clear insights, build scalable reporting solutions, and strengthen team adoption of digital collaboration and AI-enabled tools. The person in this role will partner with stakeholders to improve visibility into priorities, performance, and opportunities through dashboards, automated reporting, and structured knowledge-sharing resources.</p><p><br></p><p>Responsibilities:</p><p>• Create executive-facing dashboards that highlight procurement activity, initiative status, potential value opportunities, and overall performance trends.</p><p>• Develop automated reporting processes by connecting Asana and other relevant data sources to deliver timely, reliable updates with less manual effort.</p><p>• Establish and manage a centralized SharePoint environment that organizes key documents, communications, and reference materials for the broader team.</p><p>• Promote effective use of SharePoint by defining content governance practices and ensuring information remains accurate, current, and easy to locate.</p><p>• Produce practical AI learning materials that help teams apply generative AI to sourcing activities, supplier outreach, proposal review, negotiation support, and reporting tasks.</p><p>• Lead workshops, user training sessions, and support hours to build confidence and increase adoption of AI-driven tools and workflows.</p><p>• Design reusable prompt libraries, templates, and productivity resources that enable more consistent and efficient ways of working.</p><p>• Identify workflow improvement opportunities within Asana and related processes to enhance operational efficiency and strengthen data quality.</p><p>• Support analytics needs tied to large-scale transformation or post-merger integration activities as part of the broader procurement program.</p><p>• Partner with stakeholders to gather feedback and continuously enhance reporting tools and analytics solutions.</p>
<p>We are looking for a Data Analyst / CDP Developer to join a great organization in Southern California. This Long-term Contract position focuses on transforming customer data into reliable insights, strengthening platform performance, and supporting data-driven decisions across cross-functional teams. The role is ideal for someone who combines strong analytical thinking with hands-on development skills in SQL, Python, and cloud-based data environments. You will work onsite four days per week while partnering with technical and business stakeholders to improve data quality, workflow stability, and reporting accuracy.</p><p><br></p><p>Responsibilities:</p><p>• Examine customer event data and other high-volume datasets to uncover trends, confirm data integrity, and support informed business decisions.</p><p>• Develop, refine, and maintain complex queries across distributed data platforms such as Presto, Hive, and NoSQL environments.</p><p>• Use Python to streamline data processing, automate recurring tasks, and support platform integrations and operational workflows.</p><p>• Partner with engineering, analytics, marketing, and subject matter experts to gather requirements, validate outputs, and align solutions with business needs.</p><p>• Monitor and manage scheduled pipelines and workflow orchestration processes, resolving failures and improving overall job reliability.</p><p>• Perform investigative analysis to identify anomalies, test assumptions, and troubleshoot issues affecting data ingestion, transformation, and delivery.</p><p>• Strengthen data quality practices by implementing validation checks, alerts, and monitoring approaches that improve observability in production environments.</p><p>• Create clear documentation for data logic, business rules, workflows, issue resolution, and preventive actions using Confluence or similar tools.</p><p>• Apply version control and CI/CD standards to data scripts and related assets while helping maintain consistent development best practices.</p><p>• Ensure data handling activities follow privacy, compliance, and governance expectations when working with customer-level and production information.</p>
<p><strong>Senior Data Engineer (Contract)</strong></p><p><strong>Location:</strong> Glendale, CA | Hybrid</p><p><strong>Employment Type:</strong> Long Term Contract</p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Senior Data Engineer</strong> to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.</p><p>The ideal candidate will bring strong expertise in <strong>Databricks, Python, Apache Spark, and Terraform</strong>, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p><strong>Job Title</strong></p><p>DevOps Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading enterprise organization in the consumer and retail services sector, based in San Gabriel Valley, California, is focused on delivering scalable, secure, and innovative technology solutions across a large, distributed environment. The company is committed to modernizing its infrastructure through cloud adoption, automation, and advanced identity management, enabling high-performance operations and long-term growth.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Cloud Solutions Architect will lead the design, implementation, and governance of enterprise cloud architecture in San Gabriel Valley, California. This role serves as a strategic and hands-on technical leader responsible for driving cloud transformation, identity management, and infrastructure modernization across hybrid and multi-cloud environments. The position partners closely with cross-functional teams to ensure solutions are scalable, secure, and aligned with business objectives.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement enterprise cloud architecture across Azure, AWS, and hybrid environments</li><li>Define architecture standards, frameworks, and best practices for scalable and secure cloud solutions</li><li>Lead cloud migration, modernization, and cloud-native initiatives across business platforms</li><li>Architect and manage identity systems, including Active Directory and cloud-based identity services</li><li>Oversee design, governance, and optimization of enterprise productivity and collaboration platforms</li><li>Drive adoption of Infrastructure as Code (IaC), automation, and DevOps best practices</li><li>Partner with security teams to ensure compliance with industry standards and secure design principles</li><li>Collaborate with engineering and finance teams to optimize cloud performance, scalability, and cost</li><li>Provide technical leadership, mentorship, and architectural guidance across teams</li><li>Evaluate emerging technologies and recommend strategies for continuous improvement and innovation</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$155,000 - $160,000 plus discretionary bonus and stock</li><li>Comprehensive medical, dental, and vision coverage with strong employer contribution</li><li>Retirement savings plan with company match</li><li>Employee discounts and additional wellness-focused benefits</li><li>Competitive total rewards package with long-term growth opportunity</li></ul><p><strong>Additional Details</strong></p><ul><li>4x per week onsite in San Gabriel Valley</li><li>Flexible start times to support work-life balance</li><li>High-impact role working closely with infrastructure leadership</li><li>Opportunity to shape enterprise cloud strategy in a large-scale environment</li></ul>
<p><strong>Job Title</strong></p><p>Lead Business Systems Analyst</p><p> </p><p><strong>Company Overview</strong></p><p>A leading public-sector organization based in Los Angeles, CA, dedicated to delivering high-quality services to its community through innovation, transparency, and operational excellence. The organization leverages modern technology solutions to enhance service delivery, improve internal processes, and support data-driven decision-making across departments.</p><p> </p><p><strong>Role Summary</strong></p><p>The Lead Business Systems Analyst serves as a strategic partner bridging business needs and technology solutions. This role leads large-scale system initiatives, drives process improvements, and ensures business applications are optimized for performance and user experience. Based in Los Angeles, CA, this position plays a critical role in shaping technology roadmaps and delivering impactful solutions that support organizational objectives while overseeing a small team.</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Lead business systems initiatives, serving as a primary liaison between technical teams and business stakeholders</li><li>Gather, analyze, and document business requirements, translating them into functional specifications and user stories</li><li>Oversee system implementations, upgrades, and enhancements across enterprise applications</li><li>Develop and maintain technology roadmaps aligned with business strategy</li><li>Manage vendor relationships, including RFP/RFI/RFQ processes and contract oversight</li><li>Configure, test, and support enterprise software systems to ensure reliability and performance</li><li>Monitor system performance, identify improvement opportunities, and implement optimization strategies</li><li>Facilitate training sessions and develop documentation to support end users and self-service capabilities</li><li>Lead incident response efforts, including root cause analysis and post-incident reviews</li><li>Provide technical leadership, mentoring, and oversight to a team of 3–4 direct reports</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$120,000 – $140,000</li><li>Competitive benefits package including healthcare, retirement plans, and paid time off</li><li>Opportunities for professional development and certification support</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid (3 days onsite per week)</li><li>Position includes oversight of a small team (3–4 direct reports)</li><li>May require occasional evenings or weekend support for critical system needs</li><li>Opportunity to work on high-impact, enterprise-level systems and initiatives</li><li>Eligibility Requirement: Candidates must be U.S. citizens or lawful permanent residents</li><li>Background Screening Requirement: Employment is contingent upon successfully passing a comprehensive background check, consistent with applicable law</li></ul>
<p>We are looking for a PPC- Paid Media Digital Strategist to lead paid media planning and performance management for a portfolio of high-impact accounts in Irvine, California. This role is ideal for a data-driven marketer who can translate campaign insights into clear strategic recommendations while working independently in a fast-moving environment. The successful candidate will bring deep platform expertise across major advertising channels and a strong command of budget management, optimization, and performance analysis.</p><p><br></p><p>Responsibilities:</p><p>• Lead paid media strategy across multiple accounts, shaping channel plans that align with business goals and performance targets.</p><p>• Manage day-to-day campaign execution, adjusting bids, budgets, and targeting to improve efficiency and maintain pacing across large advertising programs.</p><p>• Evaluate performance throughout the funnel, using detailed keyword- and audience-level analysis to uncover opportunities for growth.</p><p>• Build and refine campaigns across Google Ads, Microsoft Ads, and Meta Ads to maximize reach, conversion quality, and return on spend.</p><p>• Prepare clear performance updates and strategic recommendations for senior stakeholders and executive leadership.</p><p>• Monitor campaign trends, identify risks early, and implement optimizations that strengthen overall account results.</p><p>• Partner with internal teams to ensure messaging, creative direction, and digital strategy are aligned across paid initiatives.</p><p>• Maintain a high standard of execution while operating with minimal oversight in a fast-paced, results-oriented setting.</p>
<p><strong>Job Title</strong></p><p>Systems Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services.</p><p><br></p><p><strong>Role Summary</strong></p><p>This on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
<p>We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity supporting data initiatives within the automotive industry in Southern California. In this role, you will build and enhance cloud-based data pipelines that power analytics, reporting, and operational decision-making. The position requires strong hands-on experience with AWS data services, scalable processing frameworks, and modern engineering practices to deliver reliable and efficient data solutions. </p><p><br></p><p>Responsibilities:</p><p>• Build, deploy, and support end-to-end data pipelines using AWS services such as Glue, Lambda, Redshift, S3, Athena, and Airflow-based orchestration tools.</p><p>• Create scalable data processing solutions with Python, PySpark, and Apache Spark to manage large and complex datasets efficiently.</p><p>• Develop extraction, transformation, and loading workflows that move data accurately into target platforms for reporting and downstream consumption.</p><p>• Implement data quality controls, validation routines, and exception handling to improve reliability and maintain trusted datasets.</p><p>• Tune pipeline performance and refine SQL and Redshift workloads to meet service expectations for speed, scalability, and cost efficiency.</p><p>• Partner with analysts, technical teams, and business stakeholders to convert data needs into practical engineering designs and production-ready solutions.</p><p>• Maintain clear technical documentation for pipeline logic, data flows, operational processes, and system specifications.</p><p>• Ensure data integration activities align with governance standards, compliance expectations, and established engineering best practices.</p><p>• Provide ongoing production support for deployed data solutions and address issues affecting pipeline stability or data availability.</p>