<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<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>
RESPONSIBILITIES:<br>ML Model Deployment & Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI & LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation & CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
<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>
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>Data & Systems Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through advocacy, community engagement, and operational excellence. The organization relies on technology, data, and analytics to drive informed decision-making, improve organizational effectiveness, and support strategic initiatives. This is an opportunity to join a collaborative environment where data and systems play a critical role in advancing organizational goals.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data & Systems Engineer will serve as a key technical resource responsible for managing enterprise business systems, optimizing data architecture, and expanding reporting capabilities. This role combines Salesforce administration, data engineering, systems management, and business intelligence responsibilities. The ideal candidate will have strong expertise in Salesforce, SQL, data integration, reporting, and system administration, along with the ability to translate business requirements into scalable technical solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the primary administrator for enterprise business applications, including CRM and related systems.</li><li>Manage system configuration, security, user administration, workflows, validations, and platform enhancements.</li><li>Develop and maintain reports, dashboards, and business intelligence solutions.</li><li>Build, optimize, and support data pipelines, data architectures, and reporting environments.</li><li>Manage data integrations and migrations between internal and third-party systems.</li><li>Ensure data integrity through cleansing, deduplication, audits, data loads, and ongoing governance practices.</li><li>Create and maintain backup, recovery, and disaster recovery strategies.</li><li>Perform root cause analysis and troubleshoot system, data, and reporting issues.</li><li>Develop processes supporting data transformation, metadata management, and workload optimization.</li><li>Maintain system documentation, audit logs, and change management processes.</li><li>Collaborate with cross-functional teams to gather requirements and implement technology solutions.</li><li>Provide user support, troubleshooting, training, and guidance on system functionality.</li><li>Recommend process improvements and technology enhancements that increase operational efficiency.</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid onsite 3 days a week</li><li>Full-time exempt position</li><li>Opportunity to support enterprise-wide technology, data, and reporting initiatives</li><li>Fast-paced environment requiring strong organizational skills and adaptability</li><li>Collaboration with business, analytics, development, and leadership teams across the organization</li></ul>
<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>