data-ingestion jobs in San Diego

Lead end-to-end Salesforce Data Cloud implementations as a Principal or Senior Principal Architect, owning business requirements gathering, architecture design, data ingestion and modeling, identity resolution, segment creation, and activation. Translate complex client needs into well-architected solutions leveraging Salesforce Data Cloud and the broader ecosystem; direct technical teams, present to stakeholders, and mentor delivery disciplines.…See more Demonstrate proficiency with ANSI SQL, Salesforce APIs, data governance, and marketing fundamentals, while using AI tools to accelerate workflows, optimize data preparation, and support documentation.

As a Forward Deployed Engineer, you'll design and build production-grade data pipelines and ontologies within Palantir Foundry to solve mission-critical problems for defense clients. You'll translate complex mission requirements into technical architectures, develop workflows and decision-support capabilities, and collaborate with engineers, analysts, and stakeholders to deploy Foundry-based applications.…See more The role requires 3+ years in software, data analytics, or platform engineering with hands-on Foundry and ontology design experience, plus the ability to work embedded at client sites and obtain a Secret clearance.

Senior Engineer, Machine Learning at Element Biosciences will design, develop, and optimize deep learning models (CNNs, Vision Transformers, U-Net) for biological image analysis and deploy them to production on AWS or imaging instruments. Responsibilities include building end-to-end ML pipelines from data ingestion through inference, applying advanced image processing and computer vision techniques to multimodal biological images, and analyzing single-cell and multiomic data.…See more The role requires 5–7 years of experience with a Master's degree (or 0–3 years with a PhD) and hands-on proficiency in PyTorch, Python, and cloud deployment, with strong preference for experience in biomedical image modalities.

Staff Software Developer who will design, develop, and maintain AI-enabled knowledge management and decision-support platforms for environmental and engineering applications. Responsibilities include building data ingestion workflows, implementing retrieval-augmented generation (RAG) systems with vector embeddings and semantic search, developing backend services and APIs, creating secure web-based UIs, and working with cloud services (Azure AI Search, Blob Storage, PostgreSQL).…See more The role requires strong software development skills demonstrated through a public code portfolio, familiarity with LLMs and prompt engineering, and the ability to collaborate across technical teams to translate project needs into practical features.