data-science jobs in San Diego

Design, code, and maintain complex SQL stored procedures and functions while performing data analysis, profiling, and validation tasks. Optimize database performance through tuning of stored procedures, tables, and indexes, and create SSIS packages for data transformation and staging.…See more Collaborate with technical and business teams to understand requirements, troubleshoot production database issues, and ensure data quality through defined testing and validation methods. Participate in code reviews for compliance with coding standards and best practices.

Slalom seeks a Data Engineer or Senior Data Engineer for a project-based contract (September 2026–December 2026, with potential extension) to design, build, test, and deploy data pipelines on a greenfield data platform. The role requires strong hands-on expertise in Databricks and dbt Cloud, advanced SQL, Data Vault methodology, and experience with ETL/ELT processes and data modeling.…See more You will assess existing workloads, remediate production-readiness issues, and collaborate with stakeholders to establish sustainable engineering practices in a fast-paced, client-facing environment.

Lead a technical engineering team at the intersection of AI, cybersecurity, and cloud platforms. Design and implement secure AI architectures, cloud security solutions, and DevSecOps practices while mentoring engineers and building reusable reference architectures and playbooks.…See more Require 6+ years of hands-on experience in software engineering, AI engineering, cybersecurity, or cloud security, with demonstrated proficiency in at least one major AI platform (Claude, OpenAI, Gemini, Bedrock, or Vertex AI) and cloud application development in Python, TypeScript, JavaScript, Go, or Java.

Senior Consultant leading AI and cloud security architecture design, implementation, and operational handoff for enterprise clients. Responsibilities include client discovery, technical workshops, architecture reviews, and creating reusable reference architectures and security standards.…See more Requires 3+ years of hands-on software/AI/cloud security experience, proficiency in at least one major LLM platform (Claude, OpenAI, Gemini, Bedrock, Vertex AI), and expertise in secure application development, DevSecOps, cloud security architecture, or AI security controls using Python, TypeScript, JavaScript, Go, or Java.

Lead Data Engineer to design, build, and deliver Databricks-based data and analytics solutions for Deloitte's consulting clients. You will manage delivery teams through requirements gathering, solution design, development, testing, and deployment while translating business and technical requirements into scalable data pipelines and platform capabilities.…See more The role requires 6+ years of data engineering or cloud data platform experience, 3+ years with Databricks and Apache Spark, 3+ years with Python and SQL, and 2+ years leading project teams. You will advise client stakeholders on architecture, implementation, and operating models while overseeing solution quality and project delivery.

Solution Architect role designing end-to-end digital and AI product architectures for supply chain and managed services. Translates business requirements into scalable technical designs, defines enterprise system integrations and API strategies, and evaluates technology trade-offs across cost, speed, risk, and scalability.…See more Requires 7+ years in solution/systems architecture and 3+ years solutioning API integrations; preferred experience includes AI, machine learning, analytics, cloud-native architectures, and data governance.

Lead a team of AI/ML engineers building autonomous medical coding solutions that process millions of clinical charts daily. Translate emerging advances in machine learning and LLMs into production-ready systems, define engineering strategy for ML/LLM-powered products at scale, and ensure systems meet stringent requirements for accuracy, reliability, privacy, security, and explainability.…See more Partner across data science, clinical, compliance, and software engineering teams to architect scalable inference pipelines, establish evaluation frameworks, and integrate AI capabilities into SaaS products. Requires 6+ years of AI/ML engineering experience, 2+ years leading technical teams, and hands-on expertise in production ML pipelines, LLMs, RAG, and MLOps platforms.

This is a junior-level, onsite rotational program at Axos Bank's Consumer IT AI Team for someone with a CS or related degree and Python/JavaScript experience. You'll work on production AI agents from day one under senior mentorship, learning prompt engineering, building integration code connecting AI systems to platforms like GitHub and Azure DevOps, constructing Model Context Protocol (MCP) servers, and maintaining AI plugins and documentation.…See more You'll write unit tests, participate in code reviews and CI/CD workflows, and contribute to internal documentation while building SDLC fluency through sprint ceremonies.

Senior Epic Analyst responsible for designing, building, and implementing Epic Ambulatory solutions for healthcare clients. Requires 5+ years of hands-on Epic build experience, application workflow design, troubleshooting, and testing, plus active Epic Ambulatory certification with specialty credentials.…See more Will collaborate with business partners on design and implementation, provide end-user training and support, document system configurations and workflows, and manage change control processes.

The AI Scientific Software Engineer will develop MARIE, an AI-powered scientific companion within BIOVIA's Pipeline Pilot platform, focusing on prompt engineering, agentic AI frameworks, and AI safety mechanisms. Responsibilities include designing and iterating on prompts for improved reasoning and factuality, building multi-step agentic workflows with tool calling and memory management, and implementing guardrails and validation systems.…See more The role requires a PhD in Life Sciences or Computer Science with 3+ years of software development experience, strong LLM fundamentals knowledge, hands-on experience with RAG systems and frameworks like LangChain/LangGraph, and familiarity with pharmaceutical and biotech workflows.

Mid Systems Analyst supporting Navy acquisition programs and NAVWAR training initiatives. Provides analytical support for Live, Virtual, and Constructive Training (LVCt) events, coordinates across Navy program offices and Fleet commands, analyzes Information Warfare system capabilities and training requirements, and tracks schedules, risks, and dependencies.…See more Requires 3 years of relevant DoD or Navy systems experience, strong analytical and communication skills, and proficiency with Microsoft Office tools.

Qualcomm's GPU Research Team seeks GPU architects to design next-generation GPU hardware architectures for AI, ML, and GPGPU computing across mobile, Windows on Snapdragon, and data center platforms. The role involves collaborating with software and hardware teams to develop architectural solutions, optimize for workloads like large language models and vision models, and contribute to open-source GPU/ML projects.…See more Required skills include strong GPU architecture knowledge, proficiency with APIs (OpenCL, CUDA, Vulkan, Direct3D 12), and C/C++ programming; hands-on CUDA kernel optimization and familiarity with frameworks like llama.cpp or vLLM are highly valued.

Senior Snowflake Forward Deployed Engineer who builds AI-enabled solutions and agentic platforms for enterprise clients, with 7+ years of software/data engineering experience and 1+ years of hands-on GenAI/LLM deployment. Will design and deliver production-quality code using strong testing, CI/CD, and documentation practices, lead project workstreams translating business problems into AI solutions, and mentor other engineers through design reviews and reusable component contributions.…See more Must hold or be able to obtain a US government security clearance and have current SnowPro Core Certification, with hands-on experience in Snowflake Cortex AI, LLM Functions, Agents, or Arctic Embed.

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Full-stack developer role supporting financial services clients in modernizing systems through distributed software applications. Responsibilities include analyzing business requirements, designing, developing, integrating, testing, and deploying cloud-native and microservices-based solutions across the entire project lifecycle using modern back-end (Java, Python, Node.js) and front-end (React, Angular) technologies.…See more Must demonstrate hands-on capabilities in REST APIs, CI/CD pipelines, cloud platforms (AWS, Azure), containerization, and agile/TDD methodologies, with willingness to travel up to 50%.

Senior consultant leading data management strategy execution and architecture design for finance applications, with focus on machine learning and generative AI integration. Responsible for defining data requirements, designing extensible common information models, and developing the FDL Blueprint solution offering.…See more Will mentor junior consultants, collaborate across service lines, and establish data governance frameworks while staying current with emerging technologies in Azure, ML, and Gen AI.

Lead a team of engineers building AI-driven distributed systems solutions for enterprise clients as a Manager in Application Design and Development. You will translate business requirements into technical architecture, guide teams through full-stack development (frontend, backend, APIs, data visualization), and apply machine learning and generative AI to real-world problems.…See more The role spans frontend frameworks (Angular, TypeScript, JavaScript), backend services (Java, Python, FastAPI, microservices), databases (PostgreSQL), cloud platforms (Azure), and modern DevOps practices (CI/CD, TDD). You'll work in agile delivery, manage technical talent, and teach clients how to build and scale commercial software.

Design and build production-ready agentic AI applications that automate mission-critical workflows. You will implement agent orchestration frameworks, tool-calling patterns, and multi-agent interactions using LLM platforms like AWS Bedrock and OpenAI, working in fast 4-week prototype cycles with a small high-performing team.…See more The role requires end-to-end technical ownership from design through deployment, including prompt engineering, retrieval patterns (RAG/GraphRAG), and observability implementation. You'll collaborate with product leads and solution architects to deliver reliable, cost-effective agent-based solutions that solve client challenges.

Security Operations Center (SOC) Analyst II responsible for monitoring, triaging, investigating, and responding to security events from SIEM systems, threat intelligence platforms, endpoints, and networks. The role involves configuring SIEM and SOAR tools, enforcing information security policies, identifying IT security risks, escalating incidents to responders, and staying current with evolving threat detection methods.…See more Requires 2+ years of SOC analyst experience and strong collaboration in a fast-paced team environment.

Staff Engineer role focused on architecting and developing full-stack applications with AI-native development at its core. Responsibilities include designing RESTful APIs, managing databases, and critically—directing AI coding agents (Claude, Cursor, Copilot) across the delivery lifecycle, including prompt engineering, agent workflow design, and tracing/debugging agent outputs.…See more Requires 8+ years with complex codebases, full-stack expertise (Java/Go/Python, React, REST APIs), and demonstrated proficiency using AI coding tools as a primary delivery vehicle, not just a helper.

The Staff Program Analyst will manage New Product Introduction (NPI) operations across Qualcomm's business units, coordinating execution between internal engineering teams, program management, and external suppliers. Key responsibilities include generating and driving build plans, managing bills of materials and procurement, tracking critical milestones, leading cross-functional operations meetings, identifying risks and mitigation strategies, and ensuring smooth transitions from NPI to production.…See more The role requires a deep understanding of semiconductor manufacturing flows, supply chain fundamentals, and the ability to manage multiple workstreams with shifting priorities while maintaining precision in communication and execution.

Design and develop sample AI applications for Windows on Snapdragon, covering diverse AI models and use cases with performance/accuracy diagnostics. Contribute features to the Qualcomm AI toolkit, evaluate agentic AI platforms across devices, and develop hybrid local/cloud AI experiences.…See more Interface with third-party developers and cross-functional teams to create documentation and specifications that enable external application development.

Lead enterprise data and AI architecture engagements at Deloitte, designing end-to-end Snowflake solutions for finance teams. You'll architect data pipelines, governance, ML/AI systems, and semantic models using Snowflake, Python, Snowpark, and Cortex AI.…See more The role combines technical leadership—guiding SQL/Python pipeline design, data quality, and MLOps—with client management, mentoring, and delivery accountability across planning, forecasting, close, and reporting use cases.

Entry-level data engineer role focused on designing, developing, testing, and maintaining database solutions while working with large datasets. Candidates will support ETL development, data analysis, and reporting to drive business decisions.…See more The role requires strong SQL proficiency, knowledge of relational databases (SQL Server, Oracle, MySQL, PostgreSQL), and understanding of database design, normalization, and data quality principles. Experience with version control, analytical problem-solving, and familiarity with ETL tools, cloud platforms, or visualization tools is preferred.