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11 results for Business Intelligence Bi Engineer in Los Angeles, CA

Business Intelligence (BI) Engineer

Santa Ana, CA
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Business Intelligence (BI) Engineer to join a team in Santa Ana, California, in a contract-to-permanent role. This position focuses on building scalable analytics and data solutions across modern Microsoft platforms while turning complex business needs into clear reporting and insight tools. The ideal candidate brings strong experience in BI engineering, data modeling, and enterprise reporting, along with the ability to collaborate closely with technical teams and business stakeholders. Responsibilities: • Build, test, and support enterprise BI and analytics solutions using Microsoft Azure services such as Azure SQL Database, Microsoft Fabric, Azure Synapse Analytics, and Azure Data Lake. • Create dynamic dashboards, reports, scorecards, and visual storytelling assets in Power BI to support decision-making across the business. • Manage the Power BI Service environment, including workspace administration, gateway configuration, security setup, deployment workflows, and governance practices. • Partner with stakeholders to define reporting goals, convert business requirements into scalable data solutions, and deliver meaningful analytical insights. • Develop and refine semantic layers, dimensional models, and enterprise datasets to improve reporting accuracy, usability, and performance. • Build and maintain ETL and data integration workflows using tools such as Azure Data Factory, Microsoft Fabric Dataflows, Informatica, and related technologies. • Apply data security, governance, and quality standards, including row-level security and compliance controls, across reporting platforms. • Coordinate with onsite, offshore, and cross-functional teams to keep projects on schedule, support delivery milestones, and maintain execution quality. • Provide technical leadership to BI developers and analysts through mentoring, guidance, reviews, and knowledge sharing. • Contribute to analytics modernization efforts by recommending cloud-based improvements, supporting self-service reporting, and exploring AI-enabled analytics opportunities.
2026-06-15T00:00:00Z

Sr. BI Developer

Santa Ana, CA
onsite
Temporary / Contract
60 - 70 USD / Hourly
Senior-level BI Developer focused on building and optimizing enterprise data and analytics solutions in a modern cloud environment. This role partners closely with business stakeholders to turn complex data into actionable insights, leveraging Power BI, Azure, and modern data platforms to drive better decision-making at scale. What You’ll Do<ul><li>Design and build enterprise BI and analytics solutions using Azure (Synapse, SQL DB, Data Lake, Fabric)</li><li>Develop dashboards, reports, and data visualizations in Power BI</li><li>Manage Power BI Service (workspaces, security, pipelines, governance)</li><li>Translate business needs into scalable data models and reporting solutions</li><li>Build and maintain ETL/ELT pipelines (ADF, Fabric Dataflows, Informatica or similar)</li><li>Implement data governance, security (RLS), and data quality standards</li><li>Partner with stakeholders to define KPIs and deliver actionable insights</li><li>Lead BI efforts, support team members, and drive best practices</li><li>Optimize performance, scalability, and reliability of BI platforms</li></ul>
2026-05-30T00:00:00Z

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-15T00:00:00Z

Artificial Intelligence (AI) Engineer

Bell Gardens, CA
onsite
Permanent / Full Time
190000 - 200000 USD / Yearly
Job TitleSenior Artificial Intelligence (AI) Solutions Architect Company OverviewA forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged. Role SummaryThe Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams. Key Responsibilities<ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul>Compensation & Benefits<ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul>Additional Details<ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
2026-06-03T00:00:00Z

Database Engineer

Irvine, CA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Database Engineer to support the performance, stability, and scalability of a modern data platform in Irvine, California. This role focuses on building dependable data pipelines, improving platform operations, and ensuring data assets remain governed, accessible, and cost-efficient in a production environment. The ideal candidate brings strong hands-on experience with Databricks, Spark, Python, SQL, and SQL Server, along with the ability to troubleshoot issues across orchestration, storage, and source system connectivity. Responsibilities: • Oversee daily health and uptime of Databricks pipelines, job schedules, compute resources, Delta Lake datasets, and warehouse environments to maintain consistent platform performance. • Design, build, and refine Spark-based data processing workflows in Databricks notebooks across bronze, silver, and gold layers, including incremental ingestion patterns using Auto Loader and streaming frameworks when needed. • Support and enhance workflow orchestration through Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity. • Administer data governance controls in Unity Catalog by managing schemas, permissions, lineage visibility, and catalog structures within a regulated environment. • Maintain and optimize Microsoft SQL Server databases used as source and downstream data stores, improving query execution, indexing strategy, schema organization, and overall system efficiency. • Track compute utilization and platform spend by implementing monitoring, alerting, and resource tuning practices that improve predictability and cost control. • Investigate and resolve end-to-end production issues involving failed jobs, data validation concerns, evolving schemas, and connectivity or authentication problems with upstream systems. • Contribute to shared operational ownership by creating documentation, runbooks, and support procedures that strengthen team coverage and reduce dependency on any one individual. • Produce clear technical documentation for pipeline design, platform operations, and maintenance practices to support long-term scalability and team collaboration.
2026-06-10T00:00:00Z

Security Data Engineer

Costa Mesa, CA
remote
Temporary to Hire
60 - 65 USD / Hourly
We are looking for a Security Data Engineer to join our team in Costa Mesa, California in a contract capacity with the potential for a permanent role. This position is focused on advancing a well-established data lake environment by strengthening the ingestion layer, expanding connectivity to additional systems, and ensuring reliable movement of security-relevant data. The person in this role will take ownership of pipeline operations, partner with internal system stakeholders to enable access, and help keep incoming data accurate, timely, and usable for downstream needs. Responsibilities: • Take ownership of the data ingestion layer for an existing data lake, ensuring steady performance and dependable delivery of incoming datasets. • Reduce a defined backlog of pipeline work during the first 90 days by building and activating prioritized ingestion workflows. • Assume responsibility for pipeline components transitioned from the lead engineer and continue their operational support without disrupting established foundations. • Support and improve current ETL processes by monitoring health, resolving failures, and extending coverage where needed. • Integrate new source systems, including platforms such as Rippling and Workday, into the broader data ecosystem. • Coordinate with internal application and system owners to identify data sources, secure appropriate access, and obtain logs or source records required for ingestion. • Apply data cleaning and analysis practices to improve data quality and maintain consistency across inbound datasets. • Contribute to infrastructure and deployment workflows using AWS, AWS CDK, Infrastructure as Code, and CI/CD practices to support scalable pipeline operations.
2026-06-15T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • 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. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • 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. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z

Business Systems Analyst, D365 F&O

Woodland Hills, CA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for an experienced Business Systems Analyst to join our team in Woodland Hills, California. In this role, you will support and enhance Microsoft Dynamics 365 Finance and Operations (D365 F&O) solutions, working closely with business stakeholders to identify and implement effective system improvements. The ideal candidate will bring strong expertise in financial management modules and thrive in a collaborative, fast-paced environment. Responsibilities: • Analyze and assess business requirements to determine feasibility and recommend optimal solutions within the D365 F&O platform. • Provide ongoing support and troubleshooting for the D365 F&O system, addressing issues raised by business teams. • Collaborate with stakeholders to gather, document, and refine business requirements for system enhancements. • Design, develop, and test solutions within the Microsoft Dynamics 365 platform to meet organizational needs. • Support monthly and quarterly system upgrades, ensuring smooth implementation and minimal disruption. • Create and maintain documentation for system design, project specifications, and training materials. • Partner with technical teams to develop and integrate solutions that align with business processes. • Research and document transaction flows to enhance understanding and improve system processes. • Identify opportunities for process improvement and implement best practices to optimize workflows. • Manage time effectively, prioritize tasks, and communicate progress to stakeholders.
2026-05-28T00:00:00Z

Technical Business Analyst, Adobe Target

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Technical Business Analyst with expertise in Adobe Target to join our team in Los Angeles, California. In this role, you will focus on executing and optimizing website A/B tests, managing guest experiences, and contributing to technical implementations. This position requires a hands-on approach and a deep understanding of personalization and web analytics. Responsibilities:• Execute and manage daily website A/B testing initiatives utilizing Adobe Target.• Collaborate with UX, engineering, and marketing to implement and optimize guest experiences.• Develop and maintain profile scripts and customer attributes within Adobe Target.• Debug and troubleshoot issues using WebSDK, APIs, and data layers.• Monitor and analyze web analytics to refine audience targeting and personalization strategies.• Ensure seamless integration of Adobe Target with other digital platforms and workflows.• Conduct testing and optimization to enhance user experiences.• Communicate effectively with stakeholders to provide technical insights and progress updates.• Stay updated on advancements in Adobe Experience Platform and related technologies.• Provide technical support and guidance for end-to-end implementation processes.
2026-05-28T00:00:00Z