microsoft-fabric jobs in San Diego

Mid-level AI Developer responsible for designing, building, and deploying AI-powered applications and tools using Python, TypeScript/JavaScript, and modern frameworks like LangChain and LangGraph. The role involves developing RAG pipelines, agentic workflows, MCP server integrations, and full-stack solutions (React front-end, back-end APIs, cloud services) for government and private-sector clients.…See more Candidates must have 3–5 years of software development experience with at least 1–2 years in AI/ML application development, strong proficiency in Python and JavaScript/TypeScript, hands-on experience with Claude, OpenAI, or similar APIs, and demonstrated ability to use AI-assisted coding tools.

Design and build a modern enterprise data platform to support analytics, machine learning, and near real-time data processing. As the first in-house Senior Data Platform Engineer, you'll architect the foundational data warehouse/lakehouse, establish ingestion/transformation/storage layers, build low-latency ETL/ELT pipelines with CDC strategies, and define data governance and quality frameworks.…See more You'll partner cross-functionally with Engineering, Product, Analytics, and Data Science teams to translate business needs into scalable platform solutions. Required: 8+ years in data warehousing or platform engineering, experience with modern cloud data platforms (Snowflake, Databricks, Azure Data Lake), SQL and Python proficiency, and expertise supporting both analytics and ML workloads.

Principal Engineer leading the design, build, and operation of a Microsoft Fabric–based unified data platform (UDP) serving 50+ enterprise source systems across R&D, Commercial, Manufacturing, and Supply Chain. You will architect production-grade data ingestion pipelines, mentor data and analytics engineers, enforce engineering standards and SLAs, manage external implementation partners, and build the semantic layer and governance controls.…See more The role requires 10+ years of data engineering and platform architecture experience, 2+ years of technical leadership in a lakehouse environment, and deep hands-on expertise in Microsoft Fabric (lakehouses, Data Factory, deployment pipelines), PySpark, T-SQL, Python, medallion-architecture design, CI/CD, and data governance tooling—with biopharmaceutical or regulated-industry GxP experience strongly preferred.

Entry-level finance systems business analyst supporting Procure-to-Pay, Order-to-Cash, and Financial Close workflows across Finance, Accounting, Revenue, and Procurement teams. Responsibilities include day-to-day functional support to stakeholders, identifying process automation opportunities, developing reports and dashboards using Microsoft Power Platform and Microsoft Fabric, administering Dynamics 365 identity and access governance, and participating in Agile project delivery.…See more Requires a bachelor's degree in Finance, Accounting, Business Administration, or Information Systems with 0–2 years of ERP platform support experience and strong analytical and communication skills.

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, manufacturing, supply chain, and business functions. Responsible for hands-on architecture of medallion-layer pipelines using Microsoft Fabric, technical leadership and mentorship of data engineers, vendor management, data governance implementation, and platform reliability—balancing feature delivery with security, compliance (GxP), and operational excellence in a regulated biopharmaceutical environment.See more

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

As an Azure Cloud and AI Developer, you'll design, develop, and deploy cloud-native applications on Microsoft Azure while building AI-powered solutions using Azure OpenAI, Azure AI Services, and Azure Machine Learning. You'll create secure integrations between Azure applications and enterprise platforms, drive intelligent automation initiatives, and maintain CI/CD pipelines using Azure DevOps.…See more The role requires 3+ years of application development experience with at least 1 year hands-on with Azure, strong proficiency in C#/.NET/Python, REST APIs, Git-based source control, and secure coding practices in a regulated financial services environment.

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, Commercial, Manufacturing, and other business functions. The role combines hands-on data engineering (PySpark, T-SQL, Python, Data Factory, medallion architecture) with technical leadership of data engineers, vendor management, platform standards enforcement, and cross-functional stakeholder partnership.…See more Responsibilities span CI/CD pipeline design, data quality and reliability instrumentation, semantic layer development, data governance implementation, and delivery of new source-system integrations at scale.

Own and administer a Microsoft Fabric environment including lakehouses, OneLake storage, workspaces, and SQL Analytics endpoints. Design and maintain scalable semantic models, Power BI reports, and dashboards across finance, investor relations, and operations.…See more Lead migration of Yardi-native Power BI reporting to Fabric and replace manual Excel-driven reporting with governed solutions. Build AI-enabled analytics, natural-language querying capabilities, and establish governance standards for data access, row-level security, and workspace administration.

Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.…See more You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.

Design, build, and maintain enterprise data pipelines using Microsoft Fabric and Azure Synapse, handling ingestion, transformation, and orchestration from ERP and supply chain systems. Develop and manage Fabric Lakehouse and Warehouse architectures, apply data modeling best practices, and ensure data quality and reliability.…See more Collaborate with analytics, BI, and IT teams to create governed, scalable analytical data assets that support Power BI and downstream consumers. Requires a bachelor's degree in a quantitative field, strong SQL and Python skills, and hands-on experience with Microsoft Fabric and Azure Synapse.