etl jobs in San Diego

As L3 production support lead for ClaimBeacon, a Guidewire-integrated agentic AI platform, you'll own end-to-end troubleshooting and resolution of production bugs, data pipeline failures, AI agent issues, and small enhancements across the full stack (Java, Python, Flutter). You'll reproduce issues using logs and monitoring tools, decide what escalates to core engineering, and ensure fixes maintain data/AI governance and compliance standards.…See more The role requires 5+ years of software engineering or production support experience with proven end-to-end ownership of production issues, plus comfort working across frontend, backend, data, and infrastructure in a live, high-pressure environment.

Senior software engineer responsible for designing, developing, and maintaining cloud-based backend systems and data pipelines for medical device software at Dexcom. You'll build distributed systems, APIs, and ETL/ELT pipelines that ingest and transform large-scale data, integrate AI insights, and serve internal systems and external partners.…See more The role requires 5–8 years of experience with general-purpose programming (Java/Kotlin/Scala preferred), cloud platforms (AWS/Azure/GCP), CI/CD, and data platform architecture, with mentorship of junior engineers expected.

As an AI and Data Science Engineer III, you will translate business goals into machine learning use cases and develop predictive models for marketing and advertising applications. You'll perform exploratory data analysis, apply clustering and feature transformation techniques, build proofs of concept, and validate solutions.…See more The role requires 5+ years of industry experience applying data science or machine learning methods, with a strong foundation in translating business requirements into model design approaches and collaborating across analytics and data engineering teams.

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.

Design and implement secure, scalable Google SecOps architectures for SIEM and SOAR deployments aligned with enterprise security policies and regulatory requirements (GDPR, PCI DSS). Lead log ingestion pipelines using data fabric technologies, develop threat detection content, translate security operations into automated SOAR playbooks, and mentor junior team members.…See more Requires 7+ years in security operations or threat detection engineering, hands-on experience with Google Chronicle/Siemplify, Python automation, Logstash/Gostash, ETL technologies (Cribl, Bindplane, Kafka), and familiarity with security frameworks like MITRE ATT&CK.

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.

Lead security operations and threat detection engineering for enterprise clients using Google SecOps (Chronicle SIEM and Siemplify SOAR). Design and deploy log ingestion pipelines, develop threat detection rules, translate SOC processes into automated playbooks, and manage integrations across security platforms.…See more Mentor junior SOC engineers and collaborate with threat detection teams to reduce alert fatigue and scale response capabilities.

As a Data Engineer at Booz Allen Hamilton, you will design, develop, and deploy data pipelines and platforms that organize disparate data sources to support mission-critical analytics workloads. You'll work with ETL operations, relational and non-relational databases, and collaborate with analysts, developers, and data scientists in an agile environment.…See more Required skills include Python, SQL, Git, Linux/Windows automation, and experience with pipeline development or systems administration. The role emphasizes building scalable, maintainable data infrastructure that transforms raw data into actionable insights.

Design, develop, and maintain database-driven applications using C#, VB.NET, ASP.NET, and .NET Framework/Core to support day-to-day operations at a sign manufacturing company. Responsibilities include SQL Server database design and optimization, migrating Crystal Reports to SSRS, building and maintaining ETL processes, troubleshooting performance issues, and collaborating with cross-functional teams on system enhancements.…See more Strong expertise required in .NET development, SQL Server performance tuning, and reporting tools.

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.

Senior Data Engineer responsible for designing, developing, and operationalizing scalable healthcare data platforms and integration pipelines across claims, payments, member, provider, eligibility, medical, and pharmacy domains. The role requires 10+ years of consulting experience with 6+ years in healthcare and Medicare business knowledge.…See more You will deliver cloud-based data products using Azure Databricks, PySpark, Python, AWS services, Teradata Vantage, Informatica, Airflow, GitHub, and Azure DevOps, while leading technical initiatives and coordinating with stakeholders.

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.

Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.…See more The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.

The Cloud Optimization Engineer – FinOps will manage hybrid cloud spend across private and public cloud environments, using Flexera to monitor costs and deliver monthly reporting and dashboards to stakeholders. The role involves analyzing cloud architectures and workload patterns to identify cost drivers, building and automating data pipelines and cost models, and implementing cost optimization actions such as rightsizing and reservations.…See more You will collaborate hands-on with engineering teams, develop forecasting models, enforce tagging and governance standards, and drive FinOps best practices across the organization. The position requires 5+ years of FinOps and cloud financial management experience, proficiency in Azure or GCP, and advanced skills in Excel, SQL, Python, and PowerShell.

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

Principal System Architect responsible for designing and maintaining a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI across multiple business units. The role requires architecting data pipelines integrating diverse systems (SAP, ERP, QMS, PLM tools like Windchill), leading automated workflow solutions (ECPs, QA defect prediction, EVMS reporting), and ensuring end-to-end cybersecurity compliance with DoD standards, CMMC, and Zero Trust architectures.…See more This is a senior technical leadership position requiring 14+ years of IT system architecture experience, deep expertise in intelligent automation and ML/AI, and the ability to mentor teams and present technical strategies to executive stakeholders.

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.

A senior individual contributor role requiring 10+ years of Oracle EBS and Cloud SCM expertise in semiconductor/high-tech manufacturing. The role combines hands-on RICEW development (PL/SQL, Oracle Forms, Reports, OIC, APIs, FBDI/HDL) with functional domain leadership across Order Management, Procurement, Inventory, and Supply Chain modules.…See more Responsibilities include technical solution design, Oracle patch/upgrade assessments, performance tuning, and driving AI/ML integration (Snowflake, Python, Oracle AI Apps) for automation and predictive analytics. The candidate must mentor teams, ensure data governance and compliance, and partner across IT, Supply Chain, Finance, and Operations to execute large-scale ERP transformation.

This role focuses on SQL Server database engineering, including schema design, stored procedures, query optimization, and administration. The engineer will develop business automation solutions using MS Access, VBA, and T-SQL, participate in code reviews, and communicate with technical and non-technical stakeholders.…See more Key responsibilities include ETL and reporting work, Access database development with linked SQL Server tables, and SQL Server Reporting Services and Integration Services implementation.

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.

Test and validate bioinformatics data pipelines handling genomic sequencing workflows (FASTQ, BAM, VCF formats). Write Python scripts to automate testing, manage code with Git, and deploy/monitor pipelines on cloud platforms (AWS, GCP, Azure) using CI/CD tools.…See more Troubleshoot pipeline failures and ensure data integrity across NGS (Next-Generation Sequencing) processing stages.

This role combines Business Intelligence development with Navy ERP (SAP) functional expertise to design and sustain reporting solutions, dashboards, and automated data pipelines for Navy financial operations. The developer will use Databricks, Qlik, Tableau, SQL, Spark, and Python to build analytics tools and data models while applying deep functional knowledge of SAP modules (FM, FI, CO, PS, MM, WM, SD, WFM) and financial business rules.…See more Responsibilities include developing executive dashboards, creating automated data delivery workflows via AWS S3 and email, integrating data from multiple systems (Jupiter, Navy ERP, Oracle), and supporting user acceptance testing and stakeholder training. The role requires hands-on BI development, SAP functional analysis, application development using NetWeaver and ABAP, and collaboration across functional teams to ensure data quality and audit compliance.