data-modeling jobs in San Diego

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.

Lead functional design and deployment of Product Information Management (PIM) platforms, translating business requirements into data models, workflows, and governance structures. Own product data modeling decisions including attributes, hierarchies, variants, and localization, and serve as the primary bridge between business stakeholders and technical delivery teams.…See more Drive solution configuration, integration with DAM/ERP/commerce/syndication systems, and adoption planning while staying current with Agentic Commerce and GenAI applications in product content automation.

Lead data engineering and governance initiatives for enterprise clients, architecting AI-integrated data fabric solutions on cloud platforms like Snowflake, Databricks, and Azure Synapse. Design and deliver ETL/ELT pipelines, data integration strategies, streaming architectures, and metadata governance frameworks.…See more Requires 5+ years in data architecture, enterprise data engineering, or AI platform delivery, with hands-on expertise in cloud data platforms, data modeling, API/streaming design, and enterprise system integration (especially Salesforce). Contribute thought leadership and drive client engagements around enterprise data strategy and AI-ready platforms.

Lead Forward Deployed Engineer responsible for architecting and delivering LLM-enabled applications (copilots, agentic workflows, assistants) using enterprise AI platforms like Claude, Gemini, or GPT-4o. Drive end-to-end RAG pipeline design, prompt engineering, evaluation frameworks, and data foundations while mentoring junior engineers and enforcing delivery standards across multi-pod engagements.…See more Require 7+ years software/data engineering experience, 1+ year hands-on GenAI/LLM production deployment, and proven ability to lead project workstreams and translate business problems into AI solutions.

Senior Technology Analyst role focused on SAP data migration and master data governance (MDG). You will engage with business stakeholders to gather requirements, analyze technology solutions against business needs, and collaborate with technical teams to design system architecture.…See more Key responsibilities include working hands-on with SAP data tools (Data Services, Information Steward, MDG, Datasphere), managing data quality and compliance, and translating business needs into SAP and non-SAP system configurations and integrations.

The DATABASE ADMIN 3 builds and maintains clinical database infrastructure for the Get With The Guidelines heart failure registry at UC San Diego Health. Responsibilities include designing database systems, developing automated abstraction tools in collaboration with IT, querying and modeling moderately complex databases, interfacing with external vendors and the American Heart Association, auditing clinical charts, and identifying/implementing quality improvement projects based on data analysis.…See more The role requires 7+ years of related experience or a Bachelor's degree in biological science/computational programming plus 3+ years of experience, with demonstrated knowledge of GWTG, database management systems, and advanced querying/modeling skills.

The Data Systems Specialist manages inbound order and donor data, develops and maintains SQL Server and SSIS ETL processes, and supports automated import and reconciliation workflows to ensure data accuracy across reporting systems. The role involves creating Power BI reports, maintaining semantic models, and executing operational tasks like payment processing and month-end validation.…See more The specialist collaborates with Customer Service, Finance, and Media teams to gather requirements, troubleshoot processes, and support data-driven decision-making.

This role owns clinical trial data monitoring, analysis, and reporting for a venture-backed medical device startup pursuing FDA approval. You will ramp up on existing SQL, Python, TypeScript, and Terraform pipelines to build and extend clinical monitoring dashboards, define data quality checks, produce safety and efficacy analyses, and support regulatory submissions.…See more The position requires 5+ years of clinical analytics or biostatistics experience, strong SQL and cloud data warehouse skills (BigQuery or equivalent), proficiency in Python or R, and deep familiarity with clinical trial methodology, EDC systems, and regulated documentation practices.

Senior Data Engineer role owning end-to-end data architecture for a medical device startup preparing for FDA submission. Responsibilities span defining instrumentation specs and data models upstream, designing and maintaining transformation pipelines on Google Cloud and BigQuery, implementing warehouse schemas with regulatory traceability, building EDC and device data integrations, and producing CDISC-compliant datasets (SDTM/ADaM) for clinical submissions.…See more Requires 7+ years of production data systems experience, strong Python and SQL, cloud platform expertise, and the ability to translate clinical, regulatory, and operational requirements into data infrastructure.

ServiceNow is hiring a Staff Software Engineer to design and optimize data persistence infrastructure for the ServiceNow platform. You will write highly scalable code managing data lifecycles, data loss detection and recovery, and distributed storage systems, while collaborating with cross-functional teams on data architecture and telemetry.…See more The role requires 8+ years of software development experience (or equivalent with advanced degrees), deep expertise in Java, concurrency, relational databases, Kubernetes, and distributed systems like S3 and Apache Iceberg.

Lead end-to-end technical architecture for complex PIM, PXM, and commerce SaaS implementations, translating business requirements into scalable solution architectures. Design data models, integration patterns, and system landscapes across PIM, DAM, ERP, and commerce platforms, with hands-on technical leadership to delivery teams on configuration, custom development, and integration.…See more Own technical integration strategy using APIs, services, and event-driven patterns; act as technical authority for risk identification and architectural decisions. Stay current on Agentic Commerce and GenAI trends to automate product content supply chains and drive AEO/GEO strategies for LLM syndication.

The Data Specialist (Data Analytics Developer II) will organize, clean, transform, and integrate student data from multiple sources into reliable datasets for SDSU's Program Evaluation, Compliance, and Assessment department. The role requires proficiency in Python and/or R with SQL and database knowledge, data modeling, statistical methods, and experience building data visualizations and dashboards.…See more The person will work with complex datasets supporting student affairs initiatives, collaborating with stakeholders across campus to strengthen data strategy and drive continuous improvement in student services.

Forward Deployed Engineer who embeds with clients to identify business needs and translate high-value GenAI use cases into production solutions. Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms, delivering production-quality code with strong testing, CI/CD, logging, and documentation practices.…See more Lead working sessions, prototype solutions, and mentor team members while balancing architecture decisions around quality, safety, latency, cost, and model risk. Requires 3+ years software/data engineering experience, 1+ years hands-on GenAI/LLM deployment, and 1+ years with Microsoft AI & Data (Azure AI Foundry).

Senior forward-deployed engineer at Deloitte GPS responsible for developing scalable AI engineering patterns and production-quality GenAI/LLM solutions for government clients. Must have 7+ years software/data engineering experience, 1+ years hands-on with Palantir (Foundry, AIP, or Maven), and 1+ years building and deploying LLM-powered solutions in production.…See more Role emphasizes architecture balancing quality, safety, latency, cost, and model risk; delivering well-tested, documented code with strong CI/CD practices; and translating business problems into AI solutions while leading technical workstreams.

This is a Data Analytics Developer II role within SDSU's Program Evaluation, Compliance, and Assessment (PECA) department, responsible for organizing, cleaning, transforming, and integrating student data from multiple sources into reliable datasets. The position requires proficiency in Python and/or R with SQL familiarity, strong knowledge of data structures, data modeling, statistical methods, and data quality practices.…See more You will create data visualizations and dashboards, work with complex datasets with high accuracy, and communicate findings to stakeholders with varying technical backgrounds to support data-informed decision-making across student affairs.

The Solution Architect I designs and documents cloud-native solutions using Azure and .NET, bridging business requirements with technical execution. This early-career role partners with engineering, product, and DevOps teams to translate needs into scalable, secure architectures while guiding implementation.…See more Responsibilities include creating architecture artifacts (diagrams, ADRs, specifications), applying modern patterns (API-first, event-driven, agentic AI), and ensuring solutions meet reliability, observability, security, and cost goals. Required: 3–5 years in software development or systems engineering, hands-on Azure and .NET experience, understanding of DevOps/CI/CD and observability principles.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

Support and enhance SAP Business Warehouse (BW) 7.5 on HANA 2.0 and Business Objects (BOBJ) 4.2 reporting infrastructure for a complex enterprise environment. Develop BW data models, cubes, DSOs, and transformations; create BOBJ reports and dashboards; and provide architectural guidance on data warehousing and reporting solutions.…See more Requires 5+ years of hands-on experience with SAP BW, BOBJ, HANA, and EUNA Budget, with functional knowledge spanning HCM, Finance, Logistics, EAM, and utilities.

Principal Engineer Data will develop and execute a data architecture strategy aligned with business goals, building and maintaining data models, metadata standards, and integration frameworks. The role requires leading technical assessments for digitizing core business functions, working with stakeholders to translate requirements into architectural solutions, and ensuring data storage, retrieval, and governance meet enterprise standards.…See more The candidate must have a STEM degree with at least 5 years of experience (or Master's with 3 years), strong expertise in SQL Server, data visualization tools (Tableau, Power BI), and data architecture principles including data integration, governance, and security protocols.

Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.…See more Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.

Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.…See more The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

Lead large-scale enterprise data transformation programs at Qualcomm, managing multi-year initiatives across data modernization, cloud migration, and analytics platforms. Coordinate work across distributed data engineering, architecture, governance, security, and analytics teams while managing multi-million-dollar budgets and vendor relationships.…See more Drive adoption of modern data architectures (data lakehouse, data mesh, medallion patterns) and cloud platforms (Databricks, AWS, Azure, GCP), and establish federated data governance frameworks. Influence executives and technical stakeholders to deliver measurable business outcomes while handling legacy system retirement and enterprise data integration from CRM, ERP, HCM, and supply-chain systems.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.