data-transformation jobs in San Diego

Join Axos Bank's 12-week Summer Internship Program as a Software Development Intern focused on database and data engineering work. You will design, code, and maintain complex SQL stored procedures and functions, create SSIS packages for data transformation, and performance-tune databases alongside experienced developers.…See more Responsibilities include troubleshooting database environments, conducting data analysis and profiling, implementing data validation and unit testing, and supporting production data loads. You'll contribute to enterprise initiatives while developing hands-on skills in SQL, database optimization, and low-code development in a fast-paced financial technology environment.

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.

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.

This IS Business Analyst I role focuses on data management and CRM operations in a San Diego-based environment. The analyst will load and maintain customer data, identify and resolve data inconsistencies, gather requirements from stakeholders and translate them into Jira tickets, and test CRM updates across development, UAT, and production environments.…See more The role requires SQL and database knowledge, experience with data transformation tools, QA testing skills, and familiarity with agile methodology and Jira.

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.

Design and develop business solutions using Microsoft Power Platform tools (Power Automate, Power Apps, Power BI) based on client requirements. Import, clean, and transform complex data from multiple sources using Power Query while identifying and resolving data integrity issues.…See more Review code and technical deliverables for quality, mentor team members, and communicate technical findings to clients and stakeholders. Track project progress, ensure timely delivery, and identify opportunities for follow-on enhancements.

UiPath Solutions Architect or Senior RPA Developer responsible for designing, building, and deploying enterprise robotic process automation solutions. The role requires deep UiPath expertise (Orchestrator APIs, Apps, enterprise implementations), integration of AI/ML and generative AI capabilities into automation workflows, and ability to architect centralized operational dashboards and command centers.…See more Responsibilities include troubleshooting complex integrations, conducting functional and UAT support, creating technical documentation, and working iteratively with customers in DoD/Federal Government environments. A DoD security clearance (active or ability to obtain) is required.

Design, build, and maintain Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Collaborate with stakeholders and cross-functional teams to integrate data outputs into downstream applications, troubleshoot pipeline issues, and document architecture and processes.

Design and build Python and SQL-based data transformation workflows using Databricks and PySpark for large-scale processing. Analyze unstructured datasets to independently identify actionable insights, translate ambiguous data problems into clear analytic solutions, and ensure data quality and governance across pipelines.…See more Troubleshoot pipeline issues, document processes and architecture, and partner with cross-functional teams to integrate data outputs into downstream applications and dashboards.

Own the product direction, roadmap, and prioritization for a ground-up AI-accelerated migration platform that helps law firms move onto the CARET Legal practice management system. You will translate complex migration and onboarding challenges into well-scoped product opportunities, work closely with an Engineering Tech Lead on technical architecture, and partner with migration/operations teams to deliver measurable customer and business outcomes.…See more The role requires deep technical fluency with data flows and system behavior, strong judgment about scope and tradeoffs, and the ability to engage directly with engineers and cross-functional stakeholders. You'll define success metrics around time-to-value, cutover experience, delivery predictability, and quality while balancing platform investment with customer commitments.

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 Associate AI Engineer will develop GenAI/LLM applications and integrations using foundational models, build and test AI models and conversational agents, and configure AI solutions into enterprise applications on cloud platforms. The role requires assisting with data preparation for model training, documenting technical workflows, and staying current on emerging AI tools.…See more Requires minimum three years of professional or academic experience in AI/ML, data science, or software engineering, proficiency in Python or similar languages, and hands-on experience with a major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.